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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

fiveSevenofficeDirect Career PageEst. 12–20 LPA

Posted 1d ago

Data-driven signals on your job's competitiveness

Competition Intensity

(High)

Mid-level metro Data Engineer role with common title and broad AWS/Snowflake skills increases competition.

Background Fit Sensitivity

(Low)

SQL, Snowflake, Python and AWS skills are highly transferable across industries.

Shortlisting Strictness

(High)

Explicit 5+ years requirement plus mandatory Snowflake, AWS, SQL, and ETL skills make filters strict.

Estimated fit based on your resume

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Structured overview of role & requirements

Translate business requirements into scalable data models and long-term data solutions.

Perform reverse engineering of data models from databases and SQL scripts to support integration.

Support and shape data architecture strategies including data movement, technology choices, and integration solutions.

5+ years of experience as a Data Engineer.

Strong advanced SQL skills including joins, subqueries, CTEs, and aggregations.

Experience with Snowflake, ETL tools, SQL, CI/CD pipelines, and data modelling concepts (star and snowflake schemas).

Bachelor’s degree in Computer Science, Software Engineering, MIS, or equivalent.

Familiarity with AWS services especially S3 and Glue; knowledge of Python programming.

Experienced data engineer comfortable working with complex data models and integration challenges.

Proficient in both SQL and cloud-based data technologies like Snowflake and AWS.

Capable of influencing data architecture and strategy for business value in a hybrid work environment in Gurugram.