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Azure Data Engineering

Roles & Responsibilities

  • Proficiency in Azure Data Factory and experience in creating and managing data pipelines.
  • Experience with integrating Azure Data Factory with Azure Databricks and Azure Data Lake Storage.
  • Knowledge of Azure Data Lake Storage, Azure DataBricks, and Azure SQL databases.
  • Good to have familiarity with Azure Synapse Analytics and Power BI.

Requirements:

  • Design and develop data pipelines using Azure Data Factory.
  • Integrate Azure Data Factory with other Azure services like Databricks and Data Lake Storage.
  • Manage and optimize data workflows and storage solutions.
  • Collaborate with teams to implement data solutions and ensure data quality.

Job description

Azure Data Factory (ADF): Proficient level. Candidate should have
experience on creating and managing data pipelines using Azure Data
Factory. Should have experience in integrating Azure Data Factory with
other Azure services such as Azure Databricks, Azure Data Lake
Storage.
Azure Data Lake Storage (ADLS),Azure DataBricks (ADB) ,Azure Dedicated SQL pools Azure SQL DB
Azure Synapse Analytics : Good to have.
Power BI: Good to have

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