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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

sevenTenPUNEofficeDirect Career PageEst. 18–32 LPA

Posted 2h 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

(Moderate)

Metro location and popular data-engineer skillset with broad stack requirements increase candidate competition.

Background Fit Sensitivity

(Low)

Data engineering skills (Snowflake, dbt, Python, SQL, AWS) are broadly transferable across industries.

Shortlisting Strictness

(High)

Explicit 7+ years requirement plus mandatory data-engineering tech stack and platform experience raises screening strictness.

Structured overview of role & requirements

Lead design and implementation of scalable, high-performing data platforms and architectures.

Drive key technical initiatives and make impactful architectural decisions in data engineering.

Mentor engineers and champion best practices to elevate data engineering capabilities across the organization.

7+ years of data engineering experience.

Degree in a related field.

Proficiency with AWS, dbt, Snowflake, Git, R, Python, SQL, SQL Server.

Experience working with data architecture, data modeling, and data governance techniques.

Experienced in hands-on development with a focus on scalability and performance in data infrastructure.

Skilled in collaborating cross-functionally with database developers, software teams, product management, and AI/ML developers.

Capable of managing projects and communicating complex data concepts effectively in agile environments.