Etl developer

4 weeks ago

India IntraEdge Full time

Website- Job Title: ETL Developer – Data Stage, 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 Data Stage (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 Data Stage (CP4 D) 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 Data Stage (preferably CP4 D version). Hands-on experience with AWS Glue (Py Spark 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 Dev Ops practices. Good to Have Experience with Collibra, Big ID , 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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