5+ yrsBengaluruOn-siteDirect career pageEst. 14–22 LPA
Posted 18h ago
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Job description
Structured overview of role & requirements
About This Role
- Develop, enhance, and support ETL/data transformation jobs using PySpark and IBM DataStage on AWS.
- Perform technical code reviews, integration testing, and root cause analysis to maintain data pipeline reliability and performance.
- Communicate technical solutions and collaborate with internal customers and the ETL team for continuous improvement.
Minimum Requirements
- 5+ years of ETL and SQL experience.
- 3+ years of Python and PySpark experience.
- 3+ years of AWS and UNIX experience; 2+ years IBM DataStage experience; 1+ years SnowFlake experience.
- Bachelor of Science in Computer Science or equivalent.
Ideal Candidate Profile
- Experienced in troubleshooting ETL production issues and performance tuning.
- Skilled at documenting technical specifications derived from business requirements and managing dependencies with scheduling tools like Control-M.
- Capable of working independently and collaborating effectively in cross-functional, global environments.