ETL LEAD with IBM DataStage experienced

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

Good to Have