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Azure Data Engineer

Summary

Builds and maintains ETL/ELT pipelines in Azure using Databricks, PySpark, and Azure services like ADF, Synapse, and SQL, while ensuring data lakehouse architecture and governance.

Responsibilities

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  • Design, develop, and maintain ETL/ELT pipelines using Azure Databricks and PySpark
  • Work with Azure services: ADF, ADLS, Azure SQL, Synapse, Key Vault
  • Implement Delta Lake and manage data lake house architecture
  • Collaborate with data architects, analysts, and business stakeholders
  • Deploy solutions using CI/CD pipelines (Azure DevOps preferred)

Required Skills

  • Strong experience with Azure Databricks, PySpark, Spark SQL
  • Hands-on with Azure Data Factory, Delta Lake, ADLS Gen2
  • Proficient xgiwjmb in SQL, data modeling, and data governance principles
  • Experience with devops and Terraform
  • Familiarity with Lakehouse architecture and Unity Catalog (bonus)

See also

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