Data Engineer II
Nielsen (company site, opens in a new tab)2–5 yrsBengaluruOn-siteDirect career pageEst. 10–18 LPA
Posted on 24 Sept
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Job description
Structured overview of role & requirements
About This Role
- Develop and maintain scalable data pipelines supporting both batch and real-time analytics, integrating with downstream production systems.
- Implement and monitor data governance and quality processes to ensure data integrity throughout its lifecycle.
- Participate in code reviews and testing to ensure reliability, performance optimization, and adherence to product SLAs.
Minimum Requirements
- Bachelor’s Degree in Computer Science, Data Engineering, Data Science, or related field.
- 2-5 years of experience coding in Python and SQL in production and non-production environments.
- Experience with cloud-based infrastructures and tools such as AWS, EC2, GitLab, and Airflow.
- Knowledge and application of Software Development Life Cycle best practices and building monitoring tools for infrastructure.
Ideal Candidate Profile
- Experienced in building and optimizing data pipelines within cloud environments, with operational ownership of data quality and system monitoring.
- Comfortable collaborating cross-functionally and integrating new functionalities into existing data workflows with attention to impact assessment.
- Skilled at using performance optimization techniques and tooling to meet product SLAs with emphasis on robust, reliable production deployment.