Title: Senior Data Engineer with MS Fabric Infrastructure exp.
Duration: 1 Year
Req ID: 37309239
Remote
Microsoft Fabric Infrastructure experience.
Required: Microsoft Fabric, Lakehouse, Data Factory, Dataflows Gen2, OneLake, Azure Data Lake Storage (ADLS), Synapse, PySpark, SQL, Medallion Architecture, Delta Lake
Scope of Work:
-Prepare and configure the Azure Microsoft Fabric instance to support integration with Cogito Cloud -Build and deploy required data infrastructure by July 2026 to align with Cogito Cloud readiness
-Design and implement scalable data pipelines, transformations, and platform components within Fabric
-Support data validation, lineage, and certification processes to ensure trusted data delivery
-Partner with stakeholders to ensure successful integration, testing, and readiness for go-live
Core Requirements:
-5+ years of experience in data engineering / data platform development
-Hands-on experience with Microsoft Fabric (required), including:
-Lakehouse architecture
-Data Factory (Fabric pipelines)
-Dataflows Gen2
-Warehousing / SQL endpoints
-Strong experience with Azure data services (ADLS, Synapse, Azure SQL)
Technical Skills:
-Proficiency in:
-Python and/or PySpark
-SQL (advanced)
-Experience building and optimizing:
-ETL/ELT pipelines
-Data ingestion frameworks (batch & streaming) -Strong understanding of:
-Medallion architecture (Bronze/Silver/Gold layers)
-Delta Lake and parquet-based storage -Experience with CI/CD and DevOps practices (Azure DevOps, Git)
Data & Platform Expertise:
-Data modeling experience (dimensional + semantic layer support) -Experience integrating data for:
-Reporting (Power BI preferred)
-Downstream analytics and AI/ML use cases -Familiarity with data governance and security (RBAC, HIPAA, data policies)
Nice to Have:
-Experience with:
-Power BI semantic models / datasets
-Real-time analytics in Fabric
-Exposure to data catalog / lineage tools
Education:
Bachelor''s degree in Computer Science, Information Technology or related field; OR equivalent 5+ years of experience. 5+ years of hands-on experience programming in SQL. 3+ years of experience building and maintaining automated data pipelines and data assets using batch and/or streaming processes
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