Data Engineer – Airflow / SQL/Snowflake / Python
Zensar Technologies (company site, opens in a new tab)PuneOn-siteDirect career pageEst. 6–14 LPA
Posted on 15 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design, build, and operate production-grade data pipelines using Apache Airflow, managing complex, multi-dependency DAGs end-to-end.
- Own ingestion and transformation logic along with scheduling, monitoring, failure recovery, and performance tuning of pipelines.
- Collaborate closely with data architects, analysts, and business stakeholders to improve pipeline engineering standards.
Minimum Requirements
- Strong hands-on experience with Apache Airflow for data pipeline orchestration.
- Proficient in production-quality Python programming.
- Strong SQL skills including analytical functions, complex joins, and query optimization.
- Work Experience Required: Not explicitly mentioned in the JD
Ideal Candidate Profile
- Experienced in debugging real pipeline failures with understanding of idempotency, backfills, and retry strategies.
- Comfortable handling end-to-end ownership of complex data pipeline delivery in a production environment.
- Skilled in collaborating with cross-functional teams to raise engineering standards in data pipelines.