Data Engineer

Education (Indicate the minimum level of education necessary for this position. Check all that apply and indicate specific degree as applicable to the side (e.g., Bachelor’s in Computer Science)

Work Experience

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.

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