Senior Data Engineer
Friends Color Images Private Limited (company site, opens in a new tab)5–9 yrsNoidaOn-siteDirect career pageEst. 15–30 LPA
Posted on 11 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, and manage scalable, reliable production-grade data pipelines handling large volumes of banking and transaction data.
- Implement robust data quality controls, reconciliation, automated testing, and governance across pipelines to ensure data accuracy and lineage.
- Collaborate cross-functionally with ML, architecture, backend, and infrastructure teams to deliver secure, high-performance data solutions within restricted banking environments.
Minimum Requirements
- 5-9 years of relevant experience in Data Engineering with ownership of production-grade data pipelines.
- Strong hands-on expertise in Python, advanced SQL (including window functions, query optimization), and distributed data processing platforms like Apache Spark/PySpark.
- Experience with pipeline orchestration tools such as Apache Airflow.
- Experience or understanding of data modeling, ETL/ELT processes, CDC/incremental ingestion, and working knowledge of Git, CI/CD, Docker, and Linux environments.
Ideal Candidate Profile
- Experienced in building and optimizing large-scale, secure data pipelines specifically in banking or similarly restricted data environments.
- Familiar with implementing automated data quality frameworks and managing feature engineering pipelines supporting ML workflows.
- Capable of designing for scalability, performance tuning, failure recovery, and cross-team collaboration involving ML, backend engineering, and infrastructure.