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Job Description
Structured overview of role & requirementsAbout This Role
Design and implement scalable and secure data pipelines using Azure Data Factory and Azure Databricks (Spark).
Build and maintain data solutions leveraging Azure cloud services including Blob Storage, Azure Functions, and API Gateway.
Develop and manage ETL workflows with Python, support CI/CD pipelines via Azure DevOps, and ensure high code and data quality standards.
Minimum Requirements
Experience with Azure Data Factory, Azure Databricks, and Azure cloud services.
Proficiency in Python or similar programming languages for ETL and data transformations.
Strong SQL and NoSQL database knowledge for data modeling and reliability.
Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
Has end-to-end experience in designing and deploying distributed data systems on Azure cloud.
Skilled at collaborating with DevOps and infrastructure teams to maintain CI/CD and troubleshoot networking issues.
Capable of implementing data governance and quality frameworks aligning with architectural best practices.