Data Engineer

Job description

**Knowledge, Skills, Abilities & Competencies** **• Hands-on experience in designing and implementing data platforms, including data warehouses, lakehouse, and modern** **ETL/ELT pipelines.** **• Working knowledge of Microsoft Fabric (Pipelines, Dataflows Gen2, Notebooks, Lakehouse) is strongly preferred.** **• Proven ability to build, deploy, and troubleshoot highly reliable, distributed data pipelines integrating structured and** **unstructured data from various internal systems and external sources.** **• Working knowledge of the medallion architecture (bronze/silver/gold) and Delta Lake / OneLake concepts; prior project** **experience implementing this pattern is highly desirable.** **• Solid understanding of data lakehouse patterns and Delta Lake / OneLake concepts, with the ability to structure data** **models that are AI/ML-ready and support semantic modeling.** **• Solid understanding of SQL, relational and dimensional data modeling, query tuning, and basic performance optimization.** **• Familiarity with data quality concepts null/duplicate/schema-drift checks, basic SCD handling, and validation rules in** **transformation pipelines.** **• Familiarity with Git, branching strategies, and CI/CD concepts in a data engineering context (Azure DevOps or GitHub** **Actions).** **• Strong communication and collaboration skills, with the ability to articulate complex data engineering solutions to both** **technical and non-technical stakeholders, and to lead cross-functional initiatives.**