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Job Description
Key Responsibilities
Experience: 7+ years Relevant Experience.
Roles and Responsibilities:
- Implement ingestion, transformation, and optimization of enterprise data sources into Microsoft Fabric Lakehouse environments.
- Key Responsibilities
- Manage large-volume ingestion and backfill operations
- Implement Bronze to Silver transformation pipelines
- Develop incremental load and CDC logic
- Optimize Lakehouse performance and storage patterns
- Implement monitoring (record counts, load duration, failure tracking)
- Support Dev/Test/Prod promotion processes
Required Qualifications
- 6+ years of data engineering experience
- Hands-on experience with Microsoft Fabric or Azure Synapse/Data Factory
- Strong experience with similar ELT tools
- Experience handling high-volume datasets (hundreds of millions of records)
- Proficiency in SQL, Python, and data modeling concepts
- Strong understanding of Medallion architecture
Skills
Data ModelingData SecurityData ArchitectureData ProcessingAzure Data FactoryMicrosoft AzureModelingArchitecturePythonData ModelingSqlData EngineerIf a job posting appears fraudulent, asks for payment, contains misleading information, or violates our guidelines, please report it immediately. Our team will review it promptly, Jobaaj does not charge any fee from the applicants.
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