42 ALTIMETRIK JOBS

We have opening for Ataccama Data QualityExperience - 5+ Location - Chennai/ Bangalore / Hyderabad/ Pune/ Gurgaon/ JaipurDetailed JD: Ataccama expertise and experienceStrong understanding of data quality concepts, metrics, and best practicesDevelop and implement data quality standards and metrics for various data sets.Design and execute data profiling and analysis to identify data inconsistencies, anomalies, and missing values.Conduct root cause analysis to understand the source of data quality issues and recommend solutions.Implement data cleansing and correction procedures to improve data accuracy and completeness.Develop and maintain data quality monitoring dashboards , score cards and reports for stakeholders.Collaborate with data owners, business analysts, and IT teams to define data quality requirements and address data quality concerns.Partner with data governance programs to ensure compliance with data quality policies and regulations.Stay up-to-date on emerging data quality trends and technologies, and recommend improvements to data management practices.Knowledge in administering the DQ Tools and troubleshooting technical issues.Experience in applying patch / upgrades and bug-fixes to DQ platform by and liaising with the platform vendor.Excellent analytical and problem-solving skills.Strong communication and collaboration skills.Ability to work independently and manage multiple priorities.

Job specification :Skill : GCP Data EngineeringWork Location : Chennai (Ascendas Tech Park)Salary : 10 - 28 LPAExperience : 3 to 8 Years. Notice Period : Max 60 DaysJob Description : - For Data Engineering- Good Experience or strong understanding of GCP (Big query)- Good Experience on Bigtable, Pub/Sub, Data proc, Data Flow- Good Experience on SQL, Python/AirflowRoles & Responsibilities: - Design, build, and maintain robust data pipelines using Google Cloud Platform (GCP) tools, including Dataflow and Dataproc, to ensure seamless data ingestion and transformation.- Data Modeling and Architecture- Create and maintain efficient data models in BigQuery and Bigtable, optimizing for performance and scalability to support analytical workloads.- Real-time Data Processing- Implement real-time data processing solutions using Pub/Sub, ensuring timely availability of data for analytics and reporting.- SQL Development- Write and optimize complex SQL queries for data extraction, transformation, and loading (ETL) processes, ensuring data accuracy and integrity.- Python and Workflow Management- Develop and manage workflows using Python and Apache Airflow, orchestrating various data processes and ensuring smooth execution of data tasks.Data Quality Assurance- Monitor and validate data pipelines to ensure high data quality and reliability, implementing data quality checks and automated testing frameworks.- Collaboration and Communication- Work closely with data analysts, data scientists, and other stakeholders to understand data requirements and provide necessary data support.Performance Tuning- Analyze and optimize the performance of data pipelines and queries, recommending improvements as necessary to enhance efficiency.- Documentation and Best Practices- Document data processes, architecture, and best practices to ensure knowledge sharing and maintainability across the team.- Cloud Infrastructure Management- Manage and monitor GCP resources, ensuring cost-effective utilization and adherence to security best practices.- Continuous Learning and Improvement- Stay updated with the latest trends and technologies in data engineering and GCP, applying new knowledge to improve data solutions.- Troubleshooting and Support- Provide technical support and troubleshooting for data-related issues, identifying root causes and implementing solutions.Total Experience : Relevant Experience : CTC : ECTC : Holding offer: Notice Period: If serving NP Last working date: Current location:Availability date & time for discussion : (ref:hirist.tech)

Data Engineering :- Good Experience or strong understanding of GCP (Big query)- Good Experience on Bigtable, Pub/Sub, Data proc, Data Flow- Good Experience on SQL, Python/Airflow Roles & Responsibilities :- Design, build, and maintain robust data pipelines using Google Cloud Platform (GCP) tools, including Dataflow and Dataproc, to ensure seamless data ingestion and transformation.- Data Modeling and Architecture- Create and maintain efficient data models in BigQuery and Bigtable, optimizing for performance and scalability to support analytical workloads.- Real-time Data Processing- Implement real-time data processing solutions using Pub/Sub, ensuring timely availability of data for analytics and reporting.- SQL Development- Write and optimize complex SQL queries for data extraction, transformation, and loading (ETL) processes, ensuring data accuracy and integrity.- Python and Workflow Management- Develop and manage workflows using Python and Apache Airflow, orchestrating various data processes and ensuring smooth execution of data tasks. Data Quality Assurance :- Monitor and validate data pipelines to ensure high data quality and reliability, implementing data quality checks and automated testing frameworks.- Collaboration and Communication- Work closely with data analysts, data scientists, and other stakeholders to understand data requirements and provide necessary data support. Performance Tuning :- Analyze and optimize the performance of data pipelines and queries, recommending improvements as necessary to enhance efficiency. (ref:hirist.tech)

Company: Altimetrik

MUST HAVE - SKILLS & EXPERIENCE:

- Around 4 +years of overall software development experience.

- Around 3 years of expertise in Go Language (aka GoLang) and SQL, with skills in data retrieval and manipulation.

- 3+ years of experience with JavaScript, including expertise in leveraging libraries like jQuery and Bootstrap, and proficiency in customizing CSS for styling and layout management.

- Experience in developing and managing Application Programming Interfaces (APIs).

- Development experience in a Linux/Unix environment, coupled with proficiency in bash scripting and Linux commands, provides a significant edge.

- Willingness to learn Perl as needed to migrate or support existing Perl applications.

- Currently a hands-on software developer, actively writing code and contributing to software development projects.

- Experience with tools and pipelines such as Rally, GitHub, Jenkins, Jira, etc. is desirable.

- Excellent troubleshooting, debugging, multi-tasking, analytical, and problem-solving skills are essential.

- Self-starter with good communication skills, fluent in English (written and verbal).

- Ability to quickly learn new technologies or skills is a must.

- Expertise with the RedHat OpenShift Container Platform.

- Expertise with Kubernetes.

- Expertise in IaC tools: Terraform, Ansible, Go

- Experience in Infrastructure provisioning, monitoring and Ops

- Expertise working with Docker or similar container technologies.

Location : Chennai

Years of Experience : 4 to 8 years +

Skills:- Go Programming (Golang), openshift and Red Hat Certified Engineer

Role Title: Salesforce Automation EngineerExperience: 7+ YearsCandidate Current Location: BangaloreWork Location: BangaloreNature of Role: Hybrid---------------------------------------------- Job Description: Expert level Selenium or CypressExpert level meter or other performance related automation toolsExpert level API and integration testingExperience in LoadRunnerStrong Giliab, GIT, and CICD experienceExperience in developing and executing automation strategies in Salesforce CRM and integrated API's and systemsCreating summary reports for automation and performance tasksExperience leading prioritization of performance and automation tasksExperience working in Agile teams, creating tickets requirements for automation related tasksExperience w/ functional, manual, and creating test casesKey Responsibilities:To perform testing using Selenium or CypressExpert level meter or other performance related automation toolsExpert level API and integration testingQualifications: B.E./ B.Tech/ M.Tech/ MCA Certifications: Any Salesforce Certification (Not Mandatory)Additional Comments: Experience in Salesforce Testing and Automation Testing using Selenium and Java is mandatory.Company Brief: Altimetrik is a pure-play digital business services company. We focus on delivering business outcomes with an agile, product-oriented approach. Our digital business methodology provides a blueprint to manage data as well as develop, scale, and launch new products to market faster. Our team of 6,000+ practitioners with software, data, and cloud engineering skills help create a culture of innovation and agility that optimizes team performance, modernizes technology, and builds new business models. As a strategic partner and catalyst, Altimetrik quickly delivers results without disruption to the business.

Role Title: Sr. SFDC EngineerExperience: 6+ YearsRelevant Experience in Salesforce: 5+ yearsCandidate Location: BangaloreWork Location: BangaloreNature of Role: Hybrid---------------------------------------------- Job Description: Overall, 6 years of experience in IT industry with min 5 years of Salesforce development experienceGood knowledge of Salesforce Object Model, Salesforce Service & Sales Cloud, development standards, and best practicesStrong experience in Apex, Trigger, Lightning Web Components, Flows, Visual Force and Force.comKnowledge of Salesforce integrations using REST and SOAP APIs and Data PrivacyStrong analytical, troubleshooting, and problem-solving skillsSalesforce Certifications (Good to have): ADM, PD1, PD2, App Builder, JavaScript Developer 1Key Responsibilities: Design, develop, and implement solutions on the Salesforce platform using Apex, Visual Force, Lightning Web Components, SOQL, and other relevant technologiesWork on Salesforce integrationsAdhere to and promote Salesforce best practices, ensuring scalable and maintainable solutionsQualifications: B.E./ B.Tech/ M.Tech/ MCACertifications: (Good to have) ADM, PD1, PD2, App Builder, JavaScript Developer 1Additional Comments: Experience on Apex, LWC and API Integration is a MUSTCompany Brief: Altimetrik is a pure-play digital business services company. We focus on delivering business outcomes with an agile, product-oriented approach. Our digital business methodology provides a blueprint to manage data as well as develop, scale, and launch new products to market faster. Our team of 6,000+ practitioners with software, data, cloud engineering skills help create a culture of innovation and agility that optimizes team performance, modernizes technology, and builds new business models. As a strategic partner and catalyst, Altimetrik quickly delivers results without disruption to the business.

Primary Skill :Data EngineerSecondary Skill : GCP, Big QueryExp : 5 to 10 yrsJob Description:We are seeking a skilled Data Engineer with expertise in Google Cloud Platform (GCP), particularly in BigQuery and Pub/Sub, coupled with advanced proficiency in Python. As a Data Engineer, you will play a pivotal role in designing, implementing, and optimizing data pipelines, ensuring the smooth flow of data within our organization.Responsibilities:1. Architect and Develop Data Pipelines: Design, develop, and maintain scalable and efficient data pipelines using GCP services such as Pub/Sub for real-time data ingestion and BigQuery for storage and analysis.2. Data Transformation and Processing: Implement data transformation processes to cleanse, enrich, and aggregate raw data from various sources, ensuring data quality and consistency.3. Optimize Performance: Fine-tune data pipelines and queries to optimize performance and reduce latency, ensuring timely access to data for stakeholders.4. Monitoring and Maintenance: Implement monitoring solutions to track pipeline performance and proactively address issues. Perform regular maintenance tasks to ensure the reliability and availability of data infrastructure.5. Collaboration: Collaborate with cross-functional teams including Data Scientists, Software Engineers, and Business Analysts to understand data requirements and provide technical solutions to address business needs.6. Documentation: Document data pipelines, processes, and best practices to ensure knowledge sharing and maintain a comprehensive understanding of data architecture.Requirements:1. Proficiency in GCP Services: Extensive hands-on experience with Google Cloud Platform services, particularly BigQuery for data storage and analysis, and Pub/Sub for real-time data streaming.2. Python Programming: Strong programming skills in Python for data manipulation, scripting, and automation tasks. Experience with libraries such as Pandas, NumPy, and TensorFlow is highly desirable.3. Data Modeling: Solid understanding of data modeling concepts and experience in designing efficient data models for analytics and reporting purposes.4. SQL Skills: Proficiency in writing complex SQL queries for data extraction, transformation, and analysis within BigQuery.5. Experience with Data Warehousing: Familiarity with data warehousing concepts and experience in implementing data warehouse solutions using GCP BigQuery or similar technologies.6. Problem-solving Skills: Strong analytical and problem-solving skills with the ability to troubleshoot and resolve complex data-related issues.7. Communication Skills: Excellent communication skills with the ability to effectively collaborate with cross-functional teams and articulate technical concepts to non-technical stakeholders.8. Bachelor’s Degree: Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field. Advanced degree or relevant certifications in Data Engineering or GCP are a plus.

The Technical Program Manager (TPM) for Xstore will oversee the implementation, integration, and enhancement of the Xstore point-of-sale system within our retail environment. This role requires strong project management skills, technical expertise, and the ability to coordinate across multiple teams and stakeholders.ResponsibilitiesProject Planning and Execution - Define project scope, objectives, and deliverables. Develop comprehensive project plans including timelines, milestones, and resource allocation. Manage project execution, ensuring deliverables are on track and within scope.Resource Management - Coordinate cross-functional teams including developers, testers, architects and product team. Allocate resources efficiently to meet project timelines.Process Improvement - Promote and implement best practices for software development and project management. Regularly review and refine processes to improve efficiency.Documentation and Reporting - Maintain comprehensive documentation for all project phases. Generate and distribute regular status reports to stakeholders and senior management.Qualifications:10+years in IT; preferred 2+ years of program management experience.5+ years of project management and/or related experience.5+ years of engineering experienceEducation and/or strong work experience in Information Technology or a related field (preferred). Hands on experience managing agile projectDemonstrated experience translating business strategy into roadmaps.Proven experience making tradeoffs between business needs and technology constraints.Must haves:Project experience in Xstore or Point of sale systems or Retail domain projects.Good understanding of Java, Oracle DB, Webservices. Should have worked in projects that had these tech stack for better understanding.Good communication with a lot of cross functional and different time zone teams.Good understanding of design and product concepts.Certified ScrumMaster (CSM) certification.Experience with JIRA tool.Experience collaborating with North American counterparts.Demonstrated expertise in process gap analysis and implementing best practices.Looking for immediate joiners or who can join in less than 10 days

Primary Skill : Java Angular, Springboot, MicroservivesSecondary Skill : Any Cloud( Preferred GCP)Exp : 4 – 8 yrsJob Description:We are looking for a talented Java Fullstack Engineer with expertise in Java 8, Spring Boot, microservices architecture, and proficiency in front-end technologies such as Angular. The ideal candidate will be passionate about building robust, scalable, and user-friendly applications while having a strong understanding of cloud platforms like GCP, AWS, Azure, PCF, or Openshift.Responsibilities:1. Fullstack Development: Design, develop, and maintain high-quality, scalable, and responsive web applications using Java 8, Spring Boot, and modern front-end frameworks such as Angular.2. Microservices Architecture: Architect and implement microservices-based solutions, adhering to best practices for scalability, performance, and maintainability.3. API Development: Develop RESTful APIs to enable seamless communication between the front-end and back-end systems, ensuring optimal performance and data integrity.4. Unit Testing: Write unit tests using JUnit and Mockito to ensure code quality, reliability, and test coverage, facilitating continuous integration and deployment processes.5. Cloud Integration: Integrate applications with cloud platforms such as GCP, AWS, Azure, PCF, or Openshift, leveraging cloud-native services for scalability, reliability, and security.6. Collaboration: Collaborate closely with cross-functional teams including Product Managers, Designers, and Quality Assurance Engineers to understand requirements, iterate on solutions, and deliver high-quality software products.7. Troubleshooting and Debugging: Troubleshoot and debug complex issues across the full stack, identifying root causes and implementing effective solutions to ensure optimal application performance.8. Continuous Improvement: Stay updated with the latest industry trends, technologies, and best practices in Java development, microservices architecture, and cloud computing, and actively contribute to the improvement of development processes and methodologies.Requirements:1. Java 8: Proficiency in Java 8 programming language, with a strong understanding of object-oriented design principles, data structures, and algorithms.2. Spring Boot: Hands-on experience in developing RESTful web services and microservices using Spring Boot framework, with a deep understanding of Spring ecosystem components.3. Front-end Technologies: Experience in front-end development using Angular, or similar frameworks, with a strong understanding of HTML, CSS, and JavaScript.4. Unit Testing: Familiarity with unit testing frameworks such as JUnit and Mockito for writing automated tests and test-driven development (TDD) practices.5. Cloud Platforms: Knowledge of cloud platforms such as GCP, AWS, Azure, PCF, or Openshift, and experience in deploying and managing applications in cloud environments.6. Problem-solving Skills: Strong analytical and problem-solving skills, with the ability to debug complex issues and implement effective solutions in a timely manner.7. Communication Skills: Excellent communication and interpersonal skills, with the ability to collaborate effectively with team members and stakeholders in a fast-paced, agile environment.8. Bachelor’s Degree: Bachelor’s degree in Computer Science, Engineering, or a related field. Relevant certifications in Java development, Spring framework, or cloud platforms are a plus.

As a Product Manager you will play a dual role in managing BMS product development and leading Agile teams. Your experience in L3 support and ticketing systems will be crucial in ensuring high-quality outcomes and effective resolution of technical issues. You will oversee the product lifecycle, facilitate Agile processes, and ensure that the team delivers solutions that meet customer needs and drive business value. Key Responsibilities: Leadership & Facilitation:Lead and facilitate Agile ceremonies such as sprint planning, daily stand-ups, sprint reviews, and retrospectives. Ensure adherence to Agile principles and foster a collaborative, high-performing environment. Product Vision & Strategy:Define and articulate the product vision and strategy for BMS solutions, aligning with company goals and customer requirements. Develop and maintain a comprehensive product backlog, prioritising features, user stories, and technical debt. Team Coordination:Act as a liaison between engineering teams, other Scrum Masters, and stakeholders to manage dependencies and align on delivery timelines. Provide guidance and remove impediments to facilitate smooth team operations. Market Research & Analysis:Conduct detailed market research and competitive analysis to identify trends and opportunities in the BMS sector. Use these insights to inform product strategy and decisions. Requirements & Specifications:Work closely with engineering teams to translate product requirements into technical specifications and actionable user stories. Ensure alignment with the product vision and user needs. Performance Monitoring:Monitor and analyze product performance metrics, customer feedback, and market trends. Iterate on product features based on performance data to ensure continuous improvement. L3 Support & Ticketing System Experience: L3 Support Management:Oversee Level 3 (L3) support activities, ensuring timely and effective resolution of complex technical issues. Coordinate with support teams to handle high-priority tickets and escalations. Ticketing Systems:Utilize ticketing systems (e.g., JIRA Service Management, ServiceNow) to track, manage, and resolve support tickets. Implement best practices for issue tracking, escalation, and resolution. Outcome-Based Performance:Focus on achieving outcome-based performance by setting clear KPIs and SLAs for support and product delivery. Analyze support data to identify trends and areas for improvement. Technical Expertise in Building Management Systems: BMS Technologies:Extensive knowledge of BMS components, including HVAC systems, lighting control, energy management, and security systems. Familiarity with BMS communication protocols (e.g., BACnet, Modbus) and industry standards. Integration & Optimization:Experience in integrating and optimizing various BMS subsystems for efficiency and performance. Data & IoT:Understanding of data analytics, IoT, and cloud computing technologies, with the ability to leverage these for system optimization and predictive maintenance. Qualifications: Bachelor's degree in Engineering, Computer Science, Electrical Engineering, or a related field. A Master's degree is preferred. 8-12 years of experience in product management, Scrum Master roles, and L3 support within the BMS or building automation industry. Proven track record in managing product lifecycles, leading Agile teams, and handling complex technical support issues. Strong communication, leadership, and problem-solving skills. Preferred Qualifications: Certifications such as Certified ScrumMaster (CSM), Professional Scrum Master (PSM), or Certified Product Owner (CSPO). Experience with Agile project management tools (e.g., JIRA, Trello) and ticketing systems (e.g., ServiceNow). Familiarity with BMS software platforms like Tridium Niagara, Honeywell Webs-AX, Siemens Desigo CC, or Schneider Electric EcoStruxure.

We are seeking a seasoned Senior Data Architect with at least12 yearsof experience to lead our time series data processing initiatives. The ideal candidate will possess a deep understanding of data architecture and hands-on experience with modern data technologies such as Snowflake, Timescale data base, Apache Spark, and KSQL. Flink for streaming data monitoring. A strong grasp of data retention policies, including the implementation of hot and cold storage solutions, is essential. The Data Architect will be responsible for designing and modeling data sharing mechanisms that ensure efficiency and security.Additionally, the candidate should have a proven record of accomplishment in building management and sustainability systems, demonstrating an ability to integrate data-driven insights into tangible building improvements. Experience in AI (Artificial Intelligence) and ML (Machine Learning) is crucial, as these technologies are integral to our advanced analytics and decision-making processes. The Data Architect will collaborate closely with cross-functional teams to support data-driven strategies and will play a key role in the stewardship of data governance practices.Responsibilities include but are not limited to: 1. Designing Data Management Frameworks: Data architects develop and implement comprehensive data strategies that align with the company's business processes. They are responsible for creating data models, establishing database development standards, and managing data warehouses and analytics systems.2. Ensuring Data Security and Compliance: With the increasing importance of data security, data architects must ensure that the company's data practices adhere to relevant regulations and laws. This includes implementing access controls, encryption, and other security measures to protect data integrity and privacy.3. Implementing Data Management Processes: They oversee the health of data systems, define key performance indicators (KPIs), and recommend enhancements to improve system efficiency and performance.4. Building Data Models and Strategies: Data architects construct data models that accurately represent the data and its relationships within the organization. They also devise strategies for data acquisition, storage, management, and usage.5. Collaborating Across Teams: A data architect works closely with various stakeholders, including management, IT (Information Technology) teams, and data users, to ensure that the data architecture meets the needs of the organization and supports its goals.6. Research and Development: They stay abreast of the latest trends and technologies in data management and architecture, exploring new tools and methodologies that can enhance the organization's data capabilities.7. Data Governance: Establishing policies and standards for data governance is crucial. Data architects define how data is categorized, integrated, and maintained within the organization.8. Project Management: Often, data architects will oversee projects related to the planning and construction of data infrastructures, ensuring they are completed on time and within budget.The successful candidate will be a strategic thinker with a passion for data excellence and innovation. They will bring a wealth of knowledge and a visionary approach to our data architecture, driving the company forward in its data-centric endeavors. If you are ready to take on this challenge and make a significant impact, we encourage you to apply. Please note that this role requires a full understanding of data processing and storage technologies and a commitment to sustainable data management practices.

5-6 years experience as Genesys Pure Cloud Developer Genesys PureCloud Enablement and Configuration Hands on PureCloud Technology suite applications. Genesys Cloud contact Center SIP Trunks, Genesys BYOC Cloud / On -Premises Edge, IVR Design and Development API Integrations ( 3rd Party) Configuration setup Outbound dialling, Chat and Email routing, ACD Routing Experienced in CUCM, CUC, CUCDM.. Trouble shoot - Voice Gateway, DNA, Call signalling protocol. Genesys Certfication is mandatory.

Primary Skill :Data Engineer Secondary Skill : GCP, Big Query Exp : 5 to 10 yrs Job Description: We are seeking a skilled Data Engineer with expertise in Google Cloud Platform (GCP), particularly in BigQuery and Pub/Sub, coupled with advanced proficiency in Python. As a Data Engineer, you will play a pivotal role in designing, implementing, and optimizing data pipelines, ensuring the smooth flow of data within our organization. Responsibilities: 1. Architect and Develop Data Pipelines: Design, develop, and maintain scalable and efficient data pipelines using GCP services such as Pub/Sub for real-time data ingestion and BigQuery for storage and analysis. 2. Data Transformation and Processing: Implement data transformation processes to cleanse, enrich, and aggregate raw data from various sources, ensuring data quality and consistency. 3. Optimize Performance: Fine-tune data pipelines and queries to optimize performance and reduce latency, ensuring timely access to data for stakeholders. 4. Monitoring and Maintenance: Implement monitoring solutions to track pipeline performance and proactively address issues. Perform regular maintenance tasks to ensure the reliability and availability of data infrastructure. 5. Collaboration: Collaborate with cross-functional teams including Data Scientists, Software Engineers, and Business Analysts to understand data requirements and provide technical solutions to address business needs. 6. Documentation: Document data pipelines, processes, and best practices to ensure knowledge sharing and maintain a comprehensive understanding of data architecture. Requirements: 1. Proficiency in GCP Services: Extensive hands-on experience with Google Cloud Platform services, particularly BigQuery for data storage and analysis, and Pub/Sub for real-time data streaming. 2. Python Programming: Strong programming skills in Python for data manipulation, scripting, and automation tasks. Experience with libraries such as Pandas, NumPy, and TensorFlow is highly desirable. 3. Data Modeling: Solid understanding of data modeling concepts and experience in designing efficient data models for analytics and reporting purposes. 4. SQL Skills: Proficiency in writing complex SQL queries for data extraction, transformation, and analysis within BigQuery. 5. Experience with Data Warehousing: Familiarity with data warehousing concepts and experience in implementing data warehouse solutions using GCP BigQuery or similar technologies. 6. Problem-solving Skills: Strong analytical and problem-solving skills with the ability to troubleshoot and resolve complex data-related issues. 7. Communication Skills: Excellent communication skills with the ability to effectively collaborate with cross-functional teams and articulate technical concepts to non-technical stakeholders. 8. Bachelor’s Degree: Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field. Advanced degree or relevant certifications in Data Engineering or GCP are a plus.

Job Summary: The ideal candidate will have a strong background in PowerShell scripting, and an understanding of Docker and Linux. Additionally, experience with Hyper-V, VMware, and GIT is essential. You will be responsible for designing, developing, and maintaining high-quality software solutions that meet our business needs. Key Responsibilities: Write and maintain PowerShell scripts for automation and system management tasks. Understand and work with Docker containers for application deployment and management. Manage and configure virtual environments using Hyper-V and VMware. Collaborate with cross-functional teams to define, design, and ship new features. Utilize GIT for version control and collaborative development. Troubleshoot, debug, and upgrade existing software applications. Ensure the best possible performance, quality, and responsiveness of applications. Stay up-to-date with the latest industry trends and technologies to ensure our software remains current and competitive. Required Skills and Qualifications: Proficient in writing and managing PowerShell scripts. Familiarity with Docker and Linux operating systems. Experience with virtualization technologies such as Hyper-V and VMware. Proficient in using GIT for version control. Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills. Ability to work independently and as part of a team. Preferred Qualifications: Bachelor’s degree in Computer Science, Engineering, or a related field. Experience with cloud platforms such as AWS, Azure, or Google Cloud. Knowledge of CI/CD pipelines and related tools. Familiarity with agile development methodologies.

Primary Skill : Java Angular, Springboot, Microservives Secondary Skill : Any Cloud( Preferred GCP) Exp : 4 – 8 yrs Job Description: We are looking for a talented Java Fullstack Engineer with expertise in Java 8, Spring Boot, microservices architecture, and proficiency in front-end technologies such as Angular. The ideal candidate will be passionate about building robust, scalable, and user-friendly applications while having a strong understanding of cloud platforms like GCP, AWS, Azure, PCF, or Openshift. Responsibilities: 1. Fullstack Development: Design, develop, and maintain high-quality, scalable, and responsive web applications using Java 8, Spring Boot, and modern front-end frameworks such as Angular. 2. Microservices Architecture: Architect and implement microservices-based solutions, adhering to best practices for scalability, performance, and maintainability. 3. API Development: Develop RESTful APIs to enable seamless communication between the front-end and back-end systems, ensuring optimal performance and data integrity. 4. Unit Testing: Write unit tests using JUnit and Mockito to ensure code quality, reliability, and test coverage, facilitating continuous integration and deployment processes. 5. Cloud Integration: Integrate applications with cloud platforms such as GCP, AWS, Azure, PCF, or Openshift, leveraging cloud-native services for scalability, reliability, and security. 6. Collaboration: Collaborate closely with cross-functional teams including Product Managers, Designers, and Quality Assurance Engineers to understand requirements, iterate on solutions, and deliver high-quality software products. 7. Troubleshooting and Debugging: Troubleshoot and debug complex issues across the full stack, identifying root causes and implementing effective solutions to ensure optimal application performance. 8. Continuous Improvement: Stay updated with the latest industry trends, technologies, and best practices in Java development, microservices architecture, and cloud computing, and actively contribute to the improvement of development processes and methodologies. Requirements: 1. Java 8: Proficiency in Java 8 programming language, with a strong understanding of object-oriented design principles, data structures, and algorithms. 2. Spring Boot: Hands-on experience in developing RESTful web services and microservices using Spring Boot framework, with a deep understanding of Spring ecosystem components. 3. Front-end Technologies: Experience in front-end development using Angular, or similar frameworks, with a strong understanding of HTML, CSS, and JavaScript. 4. Unit Testing: Familiarity with unit testing frameworks such as JUnit and Mockito for writing automated tests and test-driven development (TDD) practices. 5. Cloud Platforms: Knowledge of cloud platforms such as GCP, AWS, Azure, PCF, or Openshift, and experience in deploying and managing applications in cloud environments. 6. Problem-solving Skills: Strong analytical and problem-solving skills, with the ability to debug complex issues and implement effective solutions in a timely manner. 7. Communication Skills: Excellent communication and interpersonal skills, with the ability to collaborate effectively with team members and stakeholders in a fast-paced, agile environment. 8. Bachelor’s Degree: Bachelor’s degree in Computer Science, Engineering, or a related field. Relevant certifications in Java development, Spring framework, or cloud platforms are a plus.

The ideal candidate's favorite words are learning, data, scale, and agility. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers.Responsibilities Analyze raw data: assessing quality, cleansing, structuring for downstream processing Design accurate and scalable prediction algorithms Collaborate with engineering team to bring analytical prototypes to production Generate actionable insights for business improvementsQualificationsBachelor's degree or equivalent experience in quantative field (Statistics, Mathematics, Computer Science, Engineering, etc.) At least 8+ years' of experience in quantitative analytics or data modeling Deep understanding ofMLops, Sagemaker, CI/CD, Pipelines Setup, Deployment, Workflow Automation Fluency in a programming language (Python, C, C++, Java, SQL) Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark, Tableau)

Job Description :We are seeking a skilled Data Engineer with expertise in Google Cloud Platform (GCP), particularly in BigQuery and Pub/Sub, coupled with advanced proficiency in Python. As a Data Engineer, you will play a pivotal role in designing, implementing, and optimizing data pipelines, ensuring the smooth flow of data within our organization. Responsibilities : Architect and Develop Data Pipelines : - Design, develop, and maintain scalable and efficient data pipelines using GCP services such as Pub/Sub for real-time data ingestion and BigQuery for storage and analysis. Data Transformation and Processing : - Implement data transformation processes to cleanse, enrich, and aggregate raw data from various sources, ensuring data quality and consistency. Optimize Performance : - Fine-tune data pipelines and queries to optimize performance and reduce latency, ensuring timely access to data for stakeholders. Monitoring and Maintenance : - Implement monitoring solutions to track pipeline performance and proactively address issues. Perform regular maintenance tasks to ensure the reliability and availability of data infrastructure. Collaboration : - Collaborate with cross-functional teams including Data Scientists, Software Engineers, and Business Analysts to understand data requirements and provide technical solutions to address business needs. Documentation : - Document data pipelines, processes, and best practices to ensure knowledge sharing and maintain a comprehensive understanding of data architecture.Requirements : - Proficiency in GCP Services: Extensive hands-on experience with Google Cloud Platform services, particularly BigQuery for data storage and analysis, and Pub/Sub for real-time data streaming.Python Programming : - Strong programming skills in Python for data manipulation, scripting, and automation tasks. Experience with libraries such as Pandas, NumPy, and TensorFlow is highly desirable. SQL Skills : - Proficiency in writing complex SQL queries for data extraction, transformation, and analysis within BigQuery.Experience with Data Warehousing : - Familiarity with data warehousing concepts and experience in implementing data warehouse solutions using GCP BigQuery or similar technologies. Problem-solving Skills : - Strong analytical and problem-solving skills with the ability to troubleshoot and resolve complex data-related issues. Communication Skills : - Excellent communication skills with the ability to effectively collaborate with cross-functional teams and articulate technical concepts to non-technical stakeholders.Bachelor's Degree : - Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field. Advanced degree or relevant certifications in Data Engineering or GCP are a plus. - Long Description-Hadoop + GCP + Data Engineering + PySpark (ref:hirist.tech)

Embedded Developer (Linux) JDLocation – Pune (WFO - 5 days/week)Years and area of experience required:• 5+ years of design experience of embedded systems software - C, C++, Yocto, BSP, Python, data structures, Linux & EdgeX (preferable) • Industrial Ethernet protocols like Modbus, BACnet IP, or any protocol • IoT is preferred and experience on API based framework or SDK. • Experience utilizing best practices in software engineering, Agile development methodologies, CI/CD, DevOps, etc.Technical knowledge:• Strong experience in Embedded System development in Linux Environment (GCC Compiler, Linux File system, Compiler &Toolchain understanding, BSP, Cross Compilation, Rootfs, Yocto, Make, GNU Development tools, CMake, Makefiles, GDB etc.) • Good Experience in Microservice development (EdgeX) • Understanding of any Industrial protocols like Ethernet, Modbus, BACnet, REST API, Cloud connectivity (IoT, MQTT)Soft skills:• Ability to resolve issues that impact deadlines; moving rapidly to meet the demands of a fast-growing company. • Strong communication skills with the ability to communicate and interact with a variety of internal/external customers and/or co-workers. • Results-oriented and demonstrated record of developing initiatives that impact productivity. • Proactive and solutions-oriented with experience working in ambiguity. • Problem Solving - uses digital technology and processes to solve difficult problems with effective solutions.

Mandadatory Skills :: AWS,Cloud,Terraforms,Kubernetes, Scripting, ArchitectExp - 10-15 YearsNotice Period ::ImmediateLocation::ChennaiWork Mode ::WFO

Company Overview:Altimetrik delivers outcomes for our clients by rapidly enabling digital business & culture and infusing speed and agility into enterprise technology and connected solutions. We are practitioners of end-to-end business and technology transformation. We tap into an organization’s technology, people, and assets to fuel fast, meaningful results for global enterprise customers across financial services, payments, retail, automotive, healthcare, manufacturing, and other industries. Founded in 2012 and with offices across the globe, Altimetrik makes industries, leaders, and Fortune 500 companies more agile, empowered, and successful.Altimetrik helps get companies to get “unstuck”. We’re a technology company that gives organizations a process and context to solve problems in unconventional ways. We’re a catalyst for the organization’s talent and technology, helping teams push boundaries and challenge traditional approaches. We make delivery more bold, efficient, collaborative, and even more enjoyable.Key Skills and Experience:Primary Skill: Spark, Snowflake, Hadoop, SQL, GCP Secondary Skill: Python, Apache, Airflow Exp :5+Years Has at least 5+ years of experience focused on Data and Analytics.Have a good understanding of data warehousing, ETL, complex event processing, data engineering, Big Data principles and data visualization, Data Sciences, Business Intelligence, Analytics products, etc.Experienced in working in a hybrid cloud environment and exposure to Big Data framework is a must.Extensive development expertise in Spark and other Big Data processing frameworks (Hadoop, Storm, Kafka, etc.)

The ideal candidate is a self-motivated, multi-tasker, and demonstrated team-player. You will be a Senior developer responsible for the development of new software products and enhancements to existing products. You should excel in working with large-scale applications and frameworks and have outstanding communication and leadership skills. Key Roles and Responsibilities:Design and develop projects using Python, demonstrating strong proficiency.Create and maintain APIs for backend systems, ensuring efficiency and scalability.Utilize Object-Relational Mapping (preferably SQL Alchemy) to interact with databases.Conduct unit testing to ensure the quality and reliability of code.Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.Serve as a strong individual contributor, proactively solving problems and contributing to projectsuccess.Effective communication and collaboration with team members and stakeholders.Value-Added Qualifications.Experience with cloud platforms such as AWS, GCP, or Azure, for scalable and reliabledeployments.Knowledge of container orchestration tools like Kubernetes for efficient deployment and scaling.Mandatory Skills: Language: Python 7-11 years of professional Python development experience.Event-Driven: Understanding of Event-Driven Architecture & hands on experience.Strong expertise in Python API development.Proven experience with Object-Relational Mapping, preferably SQL Alchemy.Hands on Kafka Experience is Mandatory.Proficiency in unit testing methodologies.Strong problem-solving and analytical thinking skills.Effective communication and teamwork capabilities.Experience in Event-Driven Architecture.Proficiency in Microservices architecture.Hands-on experience with deployment pipeline processes involving Git, Jenkins, and Docker.Cloud experience is mandatory. Job Location: Chennai, Bangalore, Hyderabad, Pune.Work Model: Hybrid.

The ideal candidate is a self-motivated, multi-tasker, and demonstrated team-player. You will be a lead developer responsible for the development of new software products and enhancements to existing products. You should excel in working with large-scale applications and frameworks and have outstanding communication and leadership skills.Responsibilities:As a Data Engineer,Provide day-to-day support and guidance to software engineers, data analysts and data scientists on using GCP Dataproc and Dataflow services i.e. job and cluster creation, error handling, etc.Help troubleshoot issues on GCP and Hadoop platforms including but not limited to Dataproc, Dataflow, Hive, Spark, Oozie, Kafka, NiFi, etc.Perform testing and PoCs for different Dataproc and Dataflow use cases.Experienced engineer who can work on GCP environment and its relevant tools/services. (Terraform, Tekton, Cloudrun, DataFlow, Cloud Storage, Cloud scheduler, Astronomer, Big Query. etc) KeyQualifications:Skills: GCP, Sql, Big Query,Dataflow, Airflow, Dataproc, PythonExp: 4-7 yearsLocation: ChennaiWork: Hybrid

The Purpose of This Role:Translate Altimetrik Account’s strategy, into plans and provide direction/ leadership in order to deliver strategic and business objectives.Responsible for revenue and margin targets for accounts assigned to Client Partner.End to end ownership on new/existing business proposals right from RFI/RFP/RFQ responses till MSA/SOW execution.Build and maintain relationships with key business and technology stakeholders to ensure timely delivery of products/services.Responsible for account landscaping, stakeholder mapping, relationship management, customer advocacy and strategic quarterly reviews with customers.Publish and track monthly business forecasts along with contingency plan in case of revenue shortfall.Accountable for billing efficiency, utilization targets and resource fulfilment.Able to achieve customer satisfaction scores/targets.Motivate and develop high capability professionals to successfully build an excellent teamEnsure succession plans in place for key roles and develop plans to avoid single points of dependency.Ensure that the team fully understands the requirements & deliverables, meets deadlines and prioritizes engineering tasksProvide robust technical recommendations in order to provide solutions which have a significant impact on business performance in the short and longer term, exploiting opportunities and mitigating risk.Ensure all projects of work are appropriately assessed, designed, planned, resourced, scheduled and delivered in a timely and cost effective manner in order to ensure best value for customerDevelop budget and resource plans for department to ensure business objectives are delivered in accordance with financial and performance targets.Identify, assess and manage risk for an area to ensure operational technology risks are mitigated and technology performance is maintained.Build the capability of the team, own and drive account and organization goals and objectivesThrough effective recruitment, performance management and training ensure that the team is well equipped for additional challenges. Build a culture of people excellenceValue you will Deliver:Achieve top line and bottom line targets for the accountDelivery of short term and long term plans for the accountCreate an organizational design that supports account visionReduce voluntary attrition to 10% or lessFormal engagement plan for liaising with key senior customer stakeholdersFully collaborate with the Altimetrik India leadership team on all activities as well as solicit support on activities undertakenLead and influence an engaged and effective workforce and that is fully integrated with Altimetrik VisionOur Ideal Candidate comes with:Overall experience 16-24 years managing product engineering accounts and offshore development centers working closely with global teams.Experience includes at least 6 years’ experience in independent account (BFSI/Life science/Retail) Technical/ Functional Competency:IT Software Development, Digital Solutions, Digital Transformation background are mandatory.Basic understanding of technology & of software development methodologies especially as relating to developing custom software for customersA proven and consistent track record of meeting revenue targets.Behavioural Competency:Strong interpersonal communication skillsAbility to lead initiatives and people toward common goals.Working knowledge of systems infrastructureExcellent oral and written communication, presentation, and analytical skillsAbout Altimetrik :Altimetrik is a pure-play business transformation company. We are practitioners of end-to-end business and technology transformation. We tap into an organization’s technology, people, and assets to fuel fast, meaningful results for global enterprise customers across financial services, payments, retail, automotive, healthcare, manufacturing, and other industries. Founded in 2012 and with offices across the globe, Altimetrik makes industries, leaders and Fortune 500 companies more agile, empowered and successful.Altimetrik helps get companies get “unstuck”. We’re a technology company that lives organizations a process and context to solve problems in unconventional ways. We’re a catalyst for organization’s talent and technology, helping teams push boundaries and challenge traditional approaches. We make delivery more bold, efficient, collaborative and even more enjoyable.

Manual QA Engineer - AWS AWS background Basic DB knowledge Networking Demonstrated experience in Create test plans, design, develop, and deploy test frameworks. Knowledge of Operating System fundamentals and Network configurations Creating setup and replicating customer issues Ability to root cause by analyzing system and product logs Strong knowledge of QA methodology and tools Should have working knowledge of test management tools like QC/QAC/Bugzilla/Jira. Experience in CI\CD, Scripting, automation frameworks, running automation , exploratory testing, application testing Must be highly motivated with a strong passion for and commitment to software quality. Cyber Security experience is an advantage