
Data Pipeline Architect
2 weeks ago
About Our ETL Role:
We're seeking a skilled professional to design, develop, and maintain data pipelines using IBM DataStage and AWS Glue/Lambda.
- Main Responsibilities:
- Design, develop, and maintain ETL pipelines for loading curated datasets into Snowflake.
- Build and optimize data flows for data warehousing and business intelligence solutions.
- Participate in code reviews, performance tuning, and defect resolution sessions.
- Collaborate with data governance teams to ensure data quality, lineage, and security controls.
- Contribute to CI/CD integration of ETL components.
- Troubleshoot and resolve issues in production environments.
Key Skills and Qualifications:
- 4+ years of experience in ETL development with IBM DataStage.
- Hands-on experience with AWS Glue and AWS Lambda.
- Experience working with Snowflake: loading strategies, stream-task, zero-copy cloning.
- Proficiency in SQL, Unix scripting, and 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.
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