Telecom Sector - Data Engineer (Azure & Microsoft Fabric)

Requirements

• Experience with Azure Databricks
• Knowledge of Terraform or Bicep
• Experience with Microsoft Purview or data governance tools
• Azure Data certifications (DP-203, DP-600, DP-700)

Additional Information

Design and implement scalable data pipelines and data processing solutions using Azure and Microsoft Fabric Develop and optimize ETL/ELT processes for large-scale datasets Work with Lakehouse architectures (Medallion - Bronze, Silver, Gold) using Fabric or Azure Databricks Integrate data from multiple sources using Azure Data Factory / Fabric Data Pipelines Build and maintain data models and Lakehouse structures in OneLake Ensure data quality, reliability, and performance across the platform Optimize Spark workloads and data transformations using PySpark and SQL Collaborate with Data Architects, BI teams and Data Scientists to enable analytics and reporting Contribute to DataOps practices, CI/CD pipelines and automation Support data governance and security best practices across the platform Experience as a Data Engineer (3+ years) Hands-on experience with Microsoft Azure data services Experience with Microsoft Fabric (Lakehouse, pipelines, notebooks) Strong knowledge of PySpark / Spark SQL Experience with Azure Data Factory or Fabric Data Pipelines, Azure Data Lake Storage / OneLake SQL skills and experience working with large datasets Familiarity with Delta Lake / Lakehouse architectures Experience with CI/CD and DataOps practices (Azure DevOps or GitHub)

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