Hiring For Azure DevOps with data Factory
6 days ago
Hiring for Azure DevOps with data Factory & PySpark or Python
Location: Pan India
Experience: 4+ Years
Notice Period: Immediate to 30 days preferred
Key Responsibilities:
Design, develop, and maintain scalable data pipelines using Azure Data Factory.
Develop and optimize Python or PySpark scripts for data transformation and processing.
Build and manage CI/CD pipelines using Azure DevOps for data and analytics projects.
Monitor, troubleshoot, and enhance ETL workflows and pipeline performance in Azure.
Collaborate with data architects, analysts, and developers to deliver robust data solutions.
Automate deployment, testing, and monitoring through modern DevOps practices.
Ensure adherence to data security, integration standards, and performance optimization.
Required Skills:
4+ years of experience in Azure Data Factory and data orchestration
Strong hands-on experience with Azure DevOps: CI/CD pipelines, Git repos, release management
Proficiency in Python or PySpark for scalable data processing
Solid understanding of Azure services: Blob Storage, Data Lake, Key Vault, Functions, Monitoring
Experience working with large datasets, performance tuning, and efficient data transformation
Familiarity with Agile methodologies and tools like JIRA or Azure Boards
Education:
Bachelors or Masters degree in Computer Science, Information Technology, or a related field .
Apply now
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