Job Description
We're looking for a Data Engineer with 7+ years of experience to build and maintain scalable data pipelines and warehousing solutions. You'll own end-to-end data integration across our Sales domain Bookings, Quotes, and Opportunities — and be the go-to expert when things break in production.
Job Description: What You'll Do
Design and maintain enterprise-grade ETL/ELT pipelines using Informatica IICS (mappings, taskflows, CDI)
Develop and optimize Snowflake objects including Tasks, Streams, and CDC patterns
Apply dimensional modeling (Star/Snowflake schemas, SCD Type 1/2) to structure Sales domain data
Debug complex SQL/ETL issues, perform rigorous RCA, and write reconciliation scripts to ensure data integrity
Work within an Agile/Azure DevOps workflow — version control, CI/CD, sprint planning
Partner with business analysts to translate requirements into data solutions
What You Bring
Advanced hands-on experience with Informatica IICS and Snowflake (Time Travel, Tasks, Streams, performance tuning)
Strong SQL skills — both writing and debugging
Solid grounding in data warehousing principles and ETL architecture
Proven ability to diagnose and resolve data anomalies in production
Familiarity with Azure DevOps and Git
Exposure to Sales domain data structures (pipelines, bookings, quotes, opportunities) is a strong plus
Experience: 7+ years in Data Engineering or a closely related data role
No Referrers Available
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