
Data Pipeline Specialist
4 days ago
We are seeking a skilled ETL professional to join our data engineering team. The ideal candidate will have expertise in designing, developing and maintaining scalable data pipelines using IBM DataStage and AWS Glue.
The successful applicant will collaborate with architects, business analysts and data modelers to ensure timely delivery of critical data assets supporting analytics and AI/ML use cases.
- Key Responsibilities:
- Design and develop ETL pipelines using IBM DataStage and AWS Glue for ingestion from varied sources.
- B-build and optimize data flows for loading curated datasets into Snowflake.
- 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.
- Required Skills and Experience:
- 4+ years of experience in ETL development with at least 1–2 years in IBM DataStage.
- 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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