Azure DevOps Engineer

5 days ago

Itanagar, Arunachal Pradesh, India Awign Full time ₹ 12,00,000 - ₹ 36,00,000 per year

Job Title :
Azure DevOps Engineer

Location :
Remote (with 1 visit Bangalore office)

Experience :
4+ Years

Role Overview
We are seeking a skilled Azure DevOps Engineer with hands-on experience in Azure Data Factory (ADF), Azure Databricks (ADB), and CI/CD pipeline management. The ideal candidate will work on deploying, automating, and optimizing data workflows and pipelines in a cloud environment, ensuring scalability, efficiency, and reliability.

Mandatory Skills

  • Azure Databricks (ADB) Data processing, orchestration, and optimization.
  • Azure Data Factory (ADF) ETL, workflow design, and data movement automation.
  • CI/CD Pipelines Azure DevOps, GitHub Actions, or equivalent tools.
  • PySpark Writing and optimizing distributed data processing code.
  • SQL Query optimization, data validation, and integration.

Key Responsibilities

  • Design, develop, and maintain CI/CD pipelines for Azure-based data platforms.
  • Implement and optimize Azure Data Factory and Azure Databricks workflows for data processing and analytics.
  • Collaborate with Data Engineering and ML teams to enable continuous integration and deployment of scalable data pipelines.
  • Automate data orchestration processes using PySpark and SQL.
  • Monitor, troubleshoot, and optimize pipeline performance and data flow.
  • Maintain and enhance DevOps best practices, ensuring security and compliance in all deployments.

Good-to-Have Skills

  • Familiarity with Terraform or ARM templates for infrastructure automation.
  • Experience with Azure Synapse, Delta Lake, or Data Lake Storage.
  • Knowledge of monitoring tools (Azure Monitor, Log Analytics).
  • Scripting knowledge in PowerShell or Python for DevOps automation.

Qualifications

  • Bachelors or Masters degree in Computer science, Information Technology, or related field.
  • Minimum 4+ years of experience in Azure DevOps with a focus on data engineering workflows.
  • Strong problem-solving, debugging, and collaboration skills.

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