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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

sevenTenUNKNOWNofficeDirect Career PageEst. 22–34 LPA

Posted 1d 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

(Low)

Senior, niche Azure/PySpark specialization in Bangalore reduces candidate competition despite metro location.

Background Fit Sensitivity

(Moderate)

Medium because core data engineering skills transfer, but Azure-specific tools increase domain bias.

Shortlisting Strictness

(High)

Explicit 9+ years requirement plus mandatory ADF, Azure Synapse, and PySpark makes shortlisting highly strict.

Structured overview of role & requirements

Design, build, and maintain data pipelines using Azure Data Factory and Azure Synapse.

Develop and optimize data processing workflows with Python, specifically PySpark.

Support AI/ML data integration and processing within the data platforms.

Minimum 9 years of relevant work experience in data engineering.

Proficiency in Azure Data Factory (ADF), Azure Synapse, Python, and PySpark.

Graduate degree required.

Willingness to work from office in Bangalore with shift hours 3:30 PM to 12:30 AM IST.

Expertise in building scalable, reliable data pipelines on Azure cloud technologies.

Experience working with AI/ML data workflows enhancing data-driven applications.

Senior-level professional comfortable with shift work and onsite presence in Bangalore.