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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

7–10 yearsUNKNOWNofficeDirect Career PageEst. 18–30 LPA

Posted 19h ago

Against your primary resume

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Role Fit

Experience

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Data-driven signals on your job's competitiveness

Competition Intensity

(High)

Hybrid Pan-India posting, popular 'Data Engineer' title, metro reach, and broad common skillset increase competition.

Background Fit Sensitivity

(Moderate)

Core data engineering skills are transferable, though Salesforce integration and client-facing domain expertise add specificity.

Shortlisting Strictness

(High)

Explicit 7–10 years requirement plus mandatory Snowflake/Databricks/Azure/PySpark tech stack narrows shortlist.

Structured overview of role & requirements

Own and execute data engineering tasks using Azure, AWS, Snowflake, Databricks, Python, SQL, and PySpark.

Deliver measurable data solutions as part of a senior-led transformation team serving global clients.

Engage in client-facing responsibilities including project execution, domain expertise application, and possible team handling.

7 to 10 years of total relevant experience in data engineering.

Proficiency in Azure and/or AWS cloud platforms, Snowflake, Databricks, Python, SQL, and PySpark.

Work Mode: Hybrid across Pan India locations.

Employment Type: Full-time. Notice period: Not explicitly mentioned in the JD.

Experienced in client-facing roles with domain expertise in data engineering.

Capable of collaborating across teams and demonstrating ownership in project and team settings.

Comfortable engaging in multi-stage interview processes evaluating technical skills and cultural fit within senior-led teams.