Data Engineer Job Vacancies in Chennai

We are looking for a Data Processing Engineer to join our team. This is a part-time position.

We are looking for a Data Engineer to join our team in Chennai. This part-time role allows you to work from home and is suitable for candidates with 0 to 2 years of experience. **Key Responsibilities:**- **Data Collection:** Gather data from various sources to ensure we have accurate and relevant information for analysis. This includes pulling data from databases, APIs, and other data repositories.- **Data Cleaning:** Improve data quality by identifying errors and inconsistencies. This means ensuring that all data is accurate, complete, and usable for analysis.- **Data Storage:** Help design and manage data storage solutions, ensuring that data is stored securely and can be accessed efficiently by team members.- **Data Transformation:** Convert raw data into a usable format for analysis. This involves using tools and programming languages to modify and structure data appropriately.- **Collaboration:** Work with data scientists and analysts to understand their data needs. This role requires communicating effectively with team members to support their projects.**Required Skills and Expectations:**- Basic understanding of data engineering concepts and tools, such as SQL, Python, or similar programming languages.- Strong attention to detail, as accuracy in data handling is crucial.- Ability to work independently and manage your time effectively while meeting deadlines.- Good communication skills to share ideas and collaborate with others in the team. - A curious mindset and willingness to learn about new technologies and data processes.

We are seeking a motivated and enthusiastic Data Processing Engineer to join our team. This role is perfect for recent graduates or individuals looking to start their career in data processing.As a Data Processing Engineer, you will be responsible for handling and organizing data efficiently. Your key responsibilities will include:- **Data Entry**: Accurately input data into our systems while ensuring all information is correct and up to date.- **Data Quality Assurance**: Review and validate data to identify any errors or inconsistencies, and fix them promptly.- **Data Maintenance**: Regularly update and maintain databases to keep them organized and accessible for team members.- **Reporting**: Generate basic reports from the data you process, helping the team make informed decisions.To be successful in this role, you should possess strong attention to detail and the ability to work independently from home. You must be comfortable using computers and familiar with basic data processing tools. Strong communication skills are essential to collaborate effectively with team members. Having a proactive approach to problem-solving will also be important as you work through data challenges.We welcome applications from females who have completed their 10th grade education and are eager to begin a full-time position in data processing. This is a fantastic opportunity to learn, grow, and launch your career in the field of data.

We are looking for Senior Data Engineer (Snowflake / dbt / Dagster / AI-Assisted Development) with 5+ Year Experience in Chennai.Design and optimize data pipelines from SQL Server to Snowflake Work with healthcare data formats including EDI 835 / 837 if applicable Use AI tools (LLMs, code assistants, automation agents) to improve engineeringproductivity and quality

The Information Technology Engineer is responsible for designing, developing and implementing software applications and systems to support the organization's operations. They will also provide technical support and assistance to end-users.Key responsibilities include:- Developing and maintaining software applications using various programming languages such as Java, Html, and Autocad- Conducting data analysis to identify trends and patterns- Providing system support and troubleshooting technical issues- Working closely with the team to implement and maintain web tools

We are looking Data Engineer with 1 to 3 years experience in Chennai.Immediate joiners preferred

Role: Quality Assurance Engineer (Data & API)SUMMARYThe Quality Assurance Engineer partners with Engineering, Data, and Developmentteams to ensure client requirements are implemented correctly and reliably acrosshighvolume data pipelines. This role reviews requirements, designs test strategies, andexecutes automated and manual validation-emphasizing shiftleft practices andrepeatable automation. Candidates are former developers or Software DevelopmentEngineer in Test (SDET) who can effectively test large datasets, craft complex SQL fordata comparisons, and collaborate within a single, shared sprint cadence.ESSENTIAL DUTIES AND RESPONSIBILITIES Configure, implement, and maintain automated testing frameworks for data and APIvalidation (DBT tests, Pytest, SQL validators). Translate JIRA user stories and acceptance criteria into comprehensive test plans,scenarios, and data validation scripts. Ensure requirements traceability by mapping test cases and validation scriptsdirectly to client requirements and acceptance criteria, maintaining cleardocumentation throughout the lifecycle. Design and execute unit, integration, smoke, regression, and endtoend tests alignedto the recommended QA & automation framework. Validate large datasets for completeness, accuracy, timeliness, lineage, and schemaconformance, author complex SQL for data comparison. Coordinate with Engineering to enable shiftleft testing - QA participates ingrooming, planning, and daily standups; quality is a shared responsibility. Assist with user acceptance testing (UAT) and production validation, includingpostrelease smoke testing and regression cycles. Analyze test outputs, identify defects, document issues, and drive rootcauseanalysis; champion environment parity (VAL mirrors PROD). Contribute to release governance: freeze windows, QA gates, rollback plans, andrelease logs; ensure test evidence is captured. Continuously improve tools, templates, and processes; propose JIRA automation toautocreate QA stories from engineering stories. Develop domain knowledge of client data products, pipelines, integrations, and KPIs. Maintain comprehensive test documentation, including test cases, scripts, andresults, to support audits and compliance. Conduct performance and security testing as required to ensure robust, scalable,and secure solutions. Advocate for user experience and usability in all testing activities.AGILE & COLLABORATION EXPECTATIONS Active participant in Agile ceremonies (grooming, planning, standups, demos, retros)within a single, shared sprint cadence. Story readiness includes defined test criteria and data availability; QA estimatestracked alongside development. Promote predictable velocity by integrating automated tests into CI; definition ofdone includes -tested and validated.- Stay current with emerging QA tools, technologies, and best practices; proactivelyrecommend improvements to processes and frameworks.REQUIRED QUALIFICATIONS Former software developer or SDET with handson coding experience (Pythonpreferred). Expertise in SQL and relational databases; able to design complex validationqueries for large datasets. Demonstrated experience testing data pipelines, ETL/ELT workflows, and APIs inhighvolume environments. Practical knowledge of Airflow (or similar orchestration), DBT, and CI systems;experience validating DAG executions. Proficiency with automated testing tools (Selenium/Cucumber/Playwright for UIwhere applicable; Pytest for services; DBT for data). Proficiency with version control systems (e.g., Git) and defect tracking tools (e.g.,Jira, Azure DevOps). Experience with JIRA and Agile development methodology; comfortable with sharedsprint delivery. Strong critical thinking; challenges ambiguous requirements and drives clarity inacceptance criteria. Excellent communication skills; able to partner with Product Owners and Engineersto define testable stories.PREFERRED / DOMAIN EXPERIENCE Experience with liveevent data, broadcast schedules, media assets, or fanengagement platforms. Experience with bigdata validation (Snowflake/BigQuery/Redshift) and performancetesting of queries at scale. Familiarity with API contract testing, data lineage tools, and dataset comparisonframeworks. ISTQB or equivalent certification is a plus. Experience with cloud-based data platforms (AWS, Azure, GCP) is a plus.