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Mid-level role, metro Bengaluru location, and common Data Engineer title increase qualified applicant density.
Data engineering skills transfer across industries, though DataStage and healthcare context add moderate domain specificity.
Explicit 5+ years requirement plus mandatory ETL, PySpark, SQL, DataStage, AWS, and Control-M skills tighten filtering.
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Develop and support ETL/data transformation jobs using PySpark and IBM DataStage in AWS environment.
Perform technical code reviews, integration testing, and root cause analysis for ETL processes affecting global data warehouse.
Communicate technical solutions and collaborate with internal customers and peers to ensure production stability and performance.
Minimum 5 years of ETL experience with SQL proficiency and 3+ years in Python and PySpark programming.
3+ years experience with AWS and UNIX environments, including shell scripting.
2+ years experience specifically with IBM DataStage; SnowFlake experience and certifications preferred.
Bachelor's degree in Computer Science or equivalent; work experience in data engineering and ETL pipelines mandatory.
Experienced in troubleshooting ETL jobs including performance tuning and incident management using tools like Control-M.
Able to translate business requirements into technical specifications with strong understanding of data dependencies and scheduling.
Skilled at working independently and across global, cross-functional teams with effective communication of technical concepts.