
Senior Data Pipeline Specialist
7 days ago
The Role of a Data Pipeline Developer.
We are seeking an experienced Data Pipeline Developer to join our team. The ideal candidate will have a strong background in designing, developing and maintaining data pipelines using IBM DataStage (on Cloud Pak for Data) and AWS Glue/Lambda.
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.
Requirements
- 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.
Bonus Skills
- 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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