
Data Pipeline Architect
1 day ago
This is a challenging opportunity for an experienced ETL developer to join our team.
- We are looking for a skilled professional to design, develop and maintain efficient data pipelines using IBM DataStage (on Cloud Pak for Data), AWS Glue and Snowflake.
- You will work on building scalable data flows for loading curated datasets into Snowflake, leveraging best practices for schema design, partitioning and transformation logic.
- Your responsibilities will include designing and developing ETL pipelines, building and optimizing data flows, participating in code reviews and performance tuning, working closely with data governance teams and contributing to CI/CD integration.
The ideal candidate will have 4+ years of experience in ETL development with at least 1–2 years in IBM DataStage (preferably CP4D version).
Required Skills:- Experience in ETL development with IBM DataStage
- Hands-on experience with AWS Glue and AWS Lambda
- Experience working with Snowflake
- Proficiency in SQL, Unix scripting and basic Python
Bonus points if you have experience with Collibra, BigID or other metadata/governance tools, Data Mesh/Data Domain models, agile/Scrum delivery and Jira/Confluence tools, and AWS or Snowflake certification.
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