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Bangalore metro, common Azure data engineer role with broad skillset and unspecified experience, increasing competition.
Azure-centric data engineering skills are highly transferable across industries.
Many mandatory Azure data tools and programming skills required, but no explicit years threshold specified.
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Design, develop, and maintain scalable data pipelines using Azure Data Factory, Azure Databricks, and Azure Data Lake.
Develop reusable components and services using Java or C#/.NET within cloud-native data platforms.
Collaborate with cross-functional teams to implement data integration solutions and automate deployments via Azure DevOps CI/CD pipelines.
Hands-on experience with Azure data services: Azure Data Factory, Azure Databricks, Azure Data Lake Storage, Synapse Analytics, Azure Functions, and Event Hub/Kafka.
Strong programming experience in Java or C#/.NET, including Object-Oriented Programming, REST APIs, and microservices architecture.
Experience with SQL and data modeling; familiarity with Azure DevOps, CI/CD pipelines, and Git.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in building and optimizing ETL/ELT frameworks for large-scale structured and unstructured data processing.
Comfortable working within cloud environments leveraging Azure services and collaborating with DevOps teams for automation.
Skilled at improving data processing performance, reliability, and ensuring data quality, governance, and security standards.