
High-Paying Data Engineer Jobs in Chennai – Apply Online!!!
NIQ has announced job openings for the role of Data Engineer in Chennai. This is an excellent opportunity for graduates, postgraduates, and engineering professionals with experience or freshers interested in building careers in cloud data engineering. Below are the complete details regarding eligibility, skills, responsibilities, and how to apply.
| Name of the Company | NIQ |
| Required Qualifications | Graduate / Post Graduate |
| Skills | Java, FreeMarker, Snowflake, Shell scripting, Python, Collaboration |
| Category | Data Analysis / Cloud Engineering |
| Work Type | Onsite |
About the Role
As a Data Engineer at NIQ, you’ll join the POD AggEngine team to design, implement, and maintain scalable microservices. You will collaborate with cross-functional stakeholders to build secure, reliable, and optimized solutions. A key part of your role will involve writing efficient SQL queries and enabling automation in cloud data pipelines to support business operations. This position is ideal for professionals looking to grow in Azure data engineering jobs in Chennai with opportunities to learn and work on advanced analytics platforms.
Job Details
Θ Positions: Data Engineer
Θ Job Location: Chennai
Θ Salary: As Per Company Norms
Θ Job Type: Full Time
Θ Requisition ID: 744000084868689
Roles & Responsibilities
- Design and implement high-quality features aligned with technical specifications.
- Build and maintain unit tests ensuring scalability, code quality, and reliability.
- Document test results for compliance, QA, and project traceability.
- Actively contribute in Agile Scrum ceremonies – sprint planning, stand-ups, and retrospectives.
- Provide end-to-end support for POD AggEngine across QA, UAT, and production environments.
- Share knowledge by mentoring team members and driving best engineering practices.
- Contribute to CI/CD pipelines and participate in deployment and release processes.
Required Skills & Qualifications
- Tech Stack & Tools: Java, FreeMarker, Snowflake, Shell scripting, Python.
- Collaboration Tools: JIRA, Confluence, Git.
- Cloud Expertise: Hands-on experience in Microsoft Azure data engineering (AWS/GCP exposure is a plus).
- Strong communication and cross-team collaboration skills.
- Analytical mindset with proven ability to solve complex business problems using data-driven solutions.
- Knowledge of mathematical and statistical concepts for technical specifications and implementations.
Benefits
- Flexible working environment with a focus on work-life balance.
- Paid volunteer time off and opportunities to give back to the community.
- Free access to LinkedIn Learning resources for continuous upskilling.
- Employee Assistance Program (EAP) for personal and professional support.
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