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Remote and popular Data Engineer title increases applicants, but specialized MS Fabric/Azure skills reduce density.
Azure/MS Fabric data engineering skills are broadly transferable across industries despite optional maritime preference.
Mandatory 8+ years, required Azure Data Engineer certification, and MS Fabric expertise enforce strict filters.
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Design, build and maintain data ingestion and transformation pipelines for central data platforms using Microsoft Fabric Lakehouse architecture.
Ensure data quality, implement incremental loading, CDC, error handling; optimize performance through partitioning, clustering, and tuning of SQL and Spark workloads.
Collaborate with Data Architects and Analysts to deliver reusable, reliable bronze, silver, and gold datasets ready for modeling, analysis, and BI.
8+ years experience in data engineering or data integration roles with SQL, Python and/or Scala.
Bachelor's degree in computer science, engineering or related discipline.
Mandatory Azure Data Engineering certification.
Experience with Microsoft Fabric, Delta Lake, Lakehouse/Medallion architecture, ETL/ELT patterns, CDC, and cloud data platforms (Azure and AWS).
Deep expertise in Microsoft Fabric Dataflows Gen2, Spark notebooks, and data quality frameworks with focus on automation and monitoring.
Proven ability to optimize data pipelines for performance and cost in cloud environments, emphasizing operational resilience and security compliance.
Experience collaborating cross-functionally with data architects and analysts to enable business self-service through curated data assets.