Data Pipeline Engineer

Should have:

• 2–3 years of hands-on ETL development including pipeline design, orchestration, and debugging.
• Strong SQL expertise with the ability to write complex queries, optimize performance, and implement transformation logic.
• Solid understanding of data modeling concepts such as fact/dimension design, SCD1/SCD2, surrogate keys, and data partitioning.
• Demonstrated ability to analyze business rules, interpret mapping documents, and convert requirements into scalable ETL logic.
• Experience in production support and incident resolution, including error handling, root-cause analysis, and meeting data refresh SLAs.
• Working knowledge of Git and CI/CD pipelines for ETL code deployment, version control, and development best practices.

Good to have:

• Strong communication and stakeholder interaction skills, including requirement clarificat...

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