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Azure Data Engineer – Fabric, Lakehouse & Spark

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Summary

Data engineer building scalable ETL/ELT pipelines and Lakehouse architectures on Azure and Microsoft Fabric. Day to day: integrating data from multiple sources with Azure Data Factory / Fabric Data Pipelines, modeling data in OneLake, and ensuring data quality and platform performance; core tech includes Fabric, Azure Databricks, and Spark.

Devoteam is seeking a Data Engineer to design and implement scalable data pipelines and processing solutions on Azure and Microsoft Fabric. You will develop ETL/ELT processes for large-scale datasets and work with Lakehouse architectures using Fabric or Azure Databricks.

You will integrate data from multiple sources with Azure Data Factory / Fabric Data Pipelines and build data models in OneLake, ensuring high data quality and platform performance.

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