
Senior Data Pipeline Specialist
2 days ago
Design and develop scalable data pipelines using IBM DataStage on Cloud Pak for Data. This is a key role in our organization, requiring a seasoned ETL developer to collaborate with architects, business analysts, and data modelers.
- Develop and maintain ETL pipelines using IBM DataStage and AWS Glue/Lambda.
- Create 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.
As an ETL developer, you will work closely with cross-functional teams to ensure timely and accurate delivery of critical data assets supporting analytics and AI/ML use cases.
- 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.
This role requires hands-on experience with AWS Glue (PySpark or Spark) and AWS Lambda for event-based processing, as well as 4+ years of experience in ETL development with at least 1–2 years in IBM DataStage (preferably CP4D version).
Key Qualifications:- Strong understanding of data engineering principles and concepts.
- Ability to work collaboratively with cross-functional teams.
- Excellent problem-solving and analytical skills.
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