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Azure Data Engineer

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  • Posted 23 hours ago
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Early Applicant

Job Description

Job Title: Azure Data Engineer with Kubernetes and Linux knowledge.

Experience: 4-10 yrs

Location: Hyderabad, Deccan Park

Mode of interview: Walkin/ F2F

Date of interview: 11th July.

Job Description

We are seeking a skilled Azure Data Engineer with expertise in building scalable data solutions on Microsoft Azure. The ideal candidate should have hands-on experience with Azure Data Services, Terraform, and Linux environments to design, develop, automate, and optimize modern data platforms.

The candidate will be responsible for developing data pipelines, implementing Infrastructure as Code (IaC), managing cloud-based data solutions, and ensuring high availability, security, and performance of data platforms.

Key Responsibilities

  • Design, develop, and maintain scalable data pipelines and ETL/ELT solutions on Azure.
  • Build and optimize data ingestion, transformation, and storage processes.
  • Develop solutions using Azure Data Factory (ADF), Azure Databricks, Azure Synapse Analytics, and Azure Data Lake Storage.
  • Implement Infrastructure as Code (IaC) using Terraform for Azure resource provisioning and management.
  • Manage and troubleshoot Linux-based environments supporting data platforms.
  • Collaborate with data architects, analysts, and business stakeholders to understand data requirements.
  • Monitor, optimize, and troubleshoot data workflows and platform performance.
  • Implement security, governance, and compliance standards across Azure data environments.
  • Automate deployment processes using CI/CD pipelines.
  • Ensure data reliability, scalability, and operational excellence.

Required Skills

  • 4–10 years of experience in Data Engineering.
  • Strong experience with Microsoft Azure cloud services.
  • Hands-on experience with:
  • Azure Data Factory (ADF)
  • Azure Databricks
  • Azure Synapse Analytics
  • Azure Data Lake Storage (ADLS)

Please send updated resume only who are interested to attend F2F interview on 11th July - [Confidential Information].

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Job ID: 150857519

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