Back
Strong employer brand, Bangalore metro, mid-level generalist Data Engineer role with common ETL/PySpark skills.
Core ETL, PySpark and SQL skills are highly transferable across industries, reducing background sensitivity.
Explicit 5+ years requirement plus multiple mandatory ETL, PySpark, AWS, DataStage and Control-M skills increases selectivity.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Develop and enhance ETL/data transformation jobs using PySpark and IBM DataStage in AWS environment.
Provide technical support including root cause analysis, code reviews, and integration testing for data warehouse ETL processes.
Communicate technical solutions and documentation effectively with internal customers and coordinate incident resolution to minimize service interruptions.
Minimum 5 years of ETL and SQL experience.
3+ years experience with Python and PySpark; able to debug and write PySpark code.
3+ years experience with AWS and UNIX shell scripting (bash, korn shell).
2+ years experience specifically with IBM DataStage; SnowFlake experience preferred but not mandatory.
Strong troubleshooting skills in ETL job performance and production issues including tuning and reject handling.
Experience working independently and collaboratively in cross-functional, global environments managing multiple priorities simultaneously.
Ability to analyze business requirements and translate them into detailed technical specifications and optimized ETL workflow schedules using Control-M.