1. Role purpose
Build, maintain and optimize data pipelines, transformations and data models in Microsoft Fabric.
2. Key responsibilities
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Integrate data from various sources, including on-premises and cloud databases, CRMs, ERPs, APIs, etc.
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Build and maintain data ingestion and transformation pipelines
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Develop transformation logic using SQL, Python and Spark
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Support analytical and reporting use cases
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Implement CI/CD processes
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Implement monitoring and data quality solutions
3. Key skills
Must have
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Microsoft Fabric, especially with the workloads Data Engineering, Data Warehouse and Data Factory
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Microsoft Azure (Entra ID, Azure Data Lake Storage Gen2)
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Python
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SQL
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Spark, including PySpark and Spark SQL
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Git, Azure DevOps and/or GitHub
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Data integration and ETL/ELT concepts
Nice to have
4. Seniority
Mid-level to Senior, potentially also suitable for a strong junior+ candidate.