Posted on: 23/11/2025
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.
The job is for:
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Posted in
DevOps / SRE
Functional Area
DevOps / Cloud
Job Code
1578937
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