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Protocol Intelligence

Data-driven signals on your job's competitiveness

CV Match Score

Estimated fit based on your resume

Structured overview of role & requirements

Direct Career PageEst. 12–22 LPA

Posted 12h ago

Against your primary resume

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Role Fit

Experience

Industry Relevance

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Data-driven signals on your job's competitiveness

Competition Intensity

(High)

Background Fit Sensitivity

(Low)

Shortlisting Strictness

(Moderate)

Structured overview of role & requirements

Design, develop and maintain scalable data pipelines using Azure Data Factory, Azure Databricks, and Azure Data Lake Storage.

Develop reusable components and services in Java or C#/.NET to support ETL/ELT processes and cloud-native data integration solutions.

Collaborate with DevOps teams to implement automated CI/CD pipelines in Azure DevOps and ensure data platform performance, security, and compliance.

Proficient in Azure Data Engineering tools: Azure Data Factory, Azure Databricks, Azure Data Lake Storage, and Azure Synapse Analytics.

Strong programming experience in Java or C#/.NET with knowledge of OOP, REST APIs, and microservices architecture.

Experience with Azure DevOps for CI/CD pipeline automation and source control using Git.

Work Experience Required: Not explicitly mentioned in the JD.

Hands-on experience integrating large-scale structured and unstructured data using modern cloud data services within Azure ecosystem.

Skilled in building enterprise-grade data platforms with an emphasis on scalability, reliability, and data governance.

Comfortable working in a collaborative, cross-functional environment with involvement in design, code reviews, and production support.