Data Stage Developer

15 hours ago

Mount Abu, Rajasthan, India beBeeDeveloper Full time ₹ 1,72,80,000 - ₹ 2,59,20,000
About the Role

We are seeking a skilled ETL Developer to build and maintain scalable data pipelines using IBM DataStage, AWS Glue, and Snowflake.

The ideal candidate will have 4+ years of experience in ETL development with at least 1–2 years in IBM DataStage (preferably CP4D version). They should be proficient in SQL, Unix scripting, and basic Python for data handling or automation.

Key Responsibilities:
  • Design, develop, and maintain ETL pipelines using IBM DataStage (CP4D) 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.
  • Work closely with data governance teams to ensure lineage, privacy tagging, and quality controls are embedded within pipelines.
Required Skills and Qualifications:
  • Hands-on experience with AWS Glue (PySpark or Spark) and AWS Lambda for event-based processing.
  • Experience working with Snowflake: loading strategies, stream-task, zero-copy cloning, and performance tuning.
  • Familiarity with S3, version control systems (Git), and job orchestration tools.
Benefits:

This role involves collaborating with architects, business analysts, and data modelers to ensure timely and accurate delivery of critical data assets supporting analytics and AI/ML use cases.

The successful candidate will work on building efficient data pipelines using IBM DataStage (on Cloud Pak for Data), AWS Glue, and Snowflake. They will adhere to agile delivery practices, sprint planning, and documentation requirements.

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