Description
The Data Engineer will design, build, orchestrate, and optimize scalable batch, near-real-time, and real-time data pipelines and data products for analytics, reporting, AI/ML, and operational use cases. The role focuses on Snowflake development, Azure Data Factory integration, Coalesce transformation and quality workflows, data modeling, data quality, observability, governance, and modernization of legacy ETL processes. Candidates should have 5–7 years of relevant data engineering experience for the Data Engineer level or 7–10 years for the Senior Data Engineer level, with hands-on Snowflake and cloud analytical experience.
