ETL LEAD with IBM DataStage experienced

4 weeks ago

India IntraEdge Full time

Job Title: ETL Developer – DataStage, AWS, Snowflake

Experience: 5–7 Years

Location: Remote

Job Type: Full-time

About the Role

We are looking for a talented and motivated ETL Developer / Senior Developer to join our data engineering team. You will work on building scalable and efficient data pipelines using IBM DataStage (on Cloud Pak for Data) , AWS Glue , and Snowflake . You will collaborate with architects, business analysts, and data modelers to ensure timely and accurate delivery of critical data assets supporting analytics and AI/ML use cases.

Key Responsibilities

  • Design, develop, and maintain ETL pipelines using IBM DataStage (CP4D) and AWS Glue/Lambda for ingestion from varied sources like flat files, APIs, Oracle, DB2, etc.
  • 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.
  • Contribute to CI/CD integration of ETL components using Git, Jenkins, and parameterized job configurations.
  • Troubleshoot and resolve issues in QA/UAT/Production environments as needed.
  • Adhere to agile delivery practices, sprint planning, and documentation requirements.

Required Skills and Experience

  • 4+ years of experience in ETL development with at least 1–2 years in IBM DataStage (preferably CP4D version) .
  • 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.
  • Proficiency in SQL , Unix scripting , and basic Python for data handling or automation.
  • Familiarity with S3 , version control systems (Git), and job orchestration tools.
  • Experience with data profiling, cleansing, and quality validation routines.
  • Understanding of data lake/data warehouse architectures and DevOps practices.

Good to Have

  • Experience with Collibra, BigID , or other metadata/governance tools
  • Exposure to Data Mesh/Data Domain models
  • Experience with agile/Scrum delivery and Jira/Confluence tools
  • AWS or Snowflake certification is a plus

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