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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

sevenTenofficeDirect Career PageEst. 18–30 LPA

Posted 23h ago

Data-driven signals on your job's competitiveness

Competition Intensity

(Moderate)

Medium—Tier-1 employer in a metro, but role requires specialized Databricks/PySpark skills.

Background Fit Sensitivity

(Moderate)

Medium—fundamental data engineering skills transferable, though Databricks/Unity Catalog expertise narrows fit.

Shortlisting Strictness

(High)

High—explicit 7+ years plus mandatory Databricks, Unity Catalog, and PySpark expertise.

Estimated fit based on your resume

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Structured overview of role & requirements

Design and develop scalable data pipelines using PySpark and Databricks notebooks.

Build and maintain data models with star and snowflake schemas for efficient data architecture.

Leverage Databricks Unity Catalog for data governance and asset management.

7+ years of total work experience.

Proficiency in data modelling and database design including star and snowflake schemas.

Hands-on experience with Databricks and Unity Catalog.

Strong skills in Python programming and building data pipelines using PySpark/Spark.

Experienced in large-scale data modernization and migration projects.

Comfortable working in an engineering environment focused on data asset development.

Technically skilled in advanced data architecture and scalable pipeline development using Spark technologies.