Senior Data Engineer with Advanced IBM DataStage Expertise

7 days ago

Dombivli, Maharashtra, India beBeeDataEngineering Full time ₹ 15,00,000 - ₹ 21,00,000
About the Role

We are looking for a seasoned data engineer to join our organization and lead the development of complex data pipelines using IBM DataStage, AWS Glue, and Snowflake.

Key Responsibilities
  • Design, develop, and maintain sophisticated ETL pipelines using IBM DataStage and AWS Glue/Lambda for ingestion from varied sources.
  • Build and optimize data flows for loading curated datasets into Snowflake, leveraging best practices for schema design, partitioning, and transformation logic.
  • Participate in code reviews, performance tuning, and defect triage sessions to ensure high-quality deliverables.
  • Collaborate closely with data governance teams to embed lineage, privacy tagging, and quality controls within pipelines.
  • Contribute to CI/CD integration of ETL components using Git, Jenkins, and parameterized job configurations to streamline deployment processes.
Required Skills and Experience
  • 4+ years of experience in ETL development with at least 1–2 years in IBM DataStage.
  • Hands-on experience with AWS Glue and AWS Lambda for event-based processing.
  • Advanced knowledge working with Snowflake: loading strategies, stream-task, zero-copy cloning, and performance tuning.
  • Proficiency in SQL, Unix scripting, and basic Python for data handling or automation.
Benefits

This role offers opportunities for professional growth, collaboration with experienced engineers, and exposure to cutting-edge technologies.

Additional Information

Please note that this is a technical position requiring strong problem-solving skills and attention to detail.

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