TalentAQ

TalentAQ

Azure Data Engineer

EngineeringFull Time8 years

Required Skills
1 skills

Azure

Job Description

<html><h3>Job Overview</h3><p>We are seeking an Azure Data Engineer to design, build, and maintain our data infrastructure on the Azure cloud platform. In this role, you will be responsible for developing ETL pipelines, data warehouses, and data lakes. The ideal candidate should have extensive experience with Azure data services and a strong understanding of data engineering principles.</p><h3>Key Responsibilities</h3><ul><li>Design and build data pipelines using Azure Data Factory.</li><li>Develop and maintain data warehouses and data lakes on Azure.</li><li>Implement data governance and security policies.</li><li>Monitor and optimize data infrastructure performance.</li><li>Collaborate with data scientists and analysts to support their data needs.</li></ul><h3>Required Skills</h3><ul><li>Extensive experience with Azure data services (e.g., Azure Data Factory, Azure Synapse Analytics).</li><li>Strong understanding of data engineering principles.</li><li>Proficiency in SQL and data modeling.</li><li>Experience with data warehousing and ETL processes.</li></ul></html>

Job Overview

We are seeking an Azure Data Engineer to design, build, and maintain our data infrastructure on the Azure cloud platform. In this role, you will be responsible for developing ETL pipelines, data warehouses, and data lakes. The ideal candidate should have extensive experience with Azure data services and a strong understanding of data engineering principles.

Key Responsibilities

  • Design and build data pipelines using Azure Data Factory.
  • Develop and maintain data warehouses and data lakes on Azure.
  • Implement data governance and security policies.
  • Monitor and optimize data infrastructure performance.
  • Collaborate with data scientists and analysts to support their data needs.

Required Skills

  • Extensive experience with Azure data services (e.g., Azure Data Factory, Azure Synapse Analytics).
  • Strong understanding of data engineering principles.
  • Proficiency in SQL and data modeling.
  • Experience with data warehousing and ETL processes.

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