5+ yrsBengaluruOn-siteDirect career pageEst. 14–24 LPA
Posted 15h ago
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Job description
Structured overview of role & requirements
About This Role
- Develop and maintain ETL and data transformation jobs using PySpark and IBM DataStage within AWS environment to support a global data warehouse.
- Perform technical code reviews, integration testing, root cause analysis, and provide high-level technical support to ensure ETL job reliability and performance.
- Communicate technical solutions and progress effectively with internal customers and cross-functional teams.
Minimum Requirements
- Minimum 5 years of ETL and SQL experience with demonstrated troubleshooting and performance tuning skills.
- At least 3 years of Python and PySpark experience, including the ability to write and debug code independently.
- Experience with AWS, UNIX operating environment, and IBM DataStage (2+ years).
- Bachelor's degree in Computer Science or equivalent; Snowflake experience preferred but not mandatory.
Ideal Candidate Profile
- Candidate with strong operational ownership over ETL pipelines and experience in managing production incidents effectively.
- Comfortable working independently and with global teams in fast-paced environments, demonstrated by experience coordinating cross-functional tasks.
- Practically skilled in translating business requirements into technical specifications and in scheduling workflows (Control-M experience).