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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

6–9 yearsBENGALURUofficeDirect Career PageEst. 22–35 LPA

Data-driven signals on your job's competitiveness

Competition Intensity

(High)

Mid-level, popular Azure data engineer role in metro locations with broad skill requirements increases competition.

Background Fit Sensitivity

(Moderate)

Azure, Databricks and PySpark skills are broadly transferable, though some company-specific frameworks moderately reduce fit portability.

Shortlisting Strictness

(High)

Explicit 6–9 years requirement plus mandatory Azure/Databricks/PySpark and DevOps skills enforce strict filters.

Estimated fit based on your resume

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Structured overview of role & requirements

Design, develop, and maintain data infrastructure, pipelines, and systems to support business objectives and data processing.

Implement data models, database schemas, and ensure data quality and integrity.

Collaborate with cross-functional teams to prioritize data requirements and optimize data storage solutions.

6-9 years of relevant work experience.

Proficiency in Azure services including ADF, ADLS2, and Databricks.

Skills in Python, PySpark, DevOps, and experience with P&G frameworks like AI factory, Ultimate, Pygentic.

Locations: Pune, Mumbai, Gurgaon, Noida, Chennai, Coimbatore, Bangalore.

Experienced in managing distributed data systems and optimizing data storage solutions.

Strong hands-on expertise in Azure data engineering and associated frameworks and tools.

Capable of driving best practices and standards in data engineering within an organization.