
Advanced Data Pipeline Architect
3 days ago
**Job Summary**
We are seeking a highly skilled ETL Developer to join our team. As an ETL Developer, you will be responsible for designing, developing, and maintaining ETL pipelines using IBM DataStage and AWS Glue/Lambda.
**Key Responsibilities:**
- Design and develop ETL pipelines for ingestion from varied sources using IBM DataStage and AWS Glue/Lambda.
- Build and optimize data flows for loading curated datasets into Snowflake.
- Collaborate 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.
**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.
**Nice 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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