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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

fiveSevenHybrid — PUNEhybridDirect Career PageEst. 12–18 LPA

Posted 2d ago

Data-driven signals on your job's competitiveness

Competition Intensity

(High)

Mid-level data engineer in a metro with popular skills (Snowflake, AWS) increases competition.

Background Fit Sensitivity

(Low)

Core skills (SQL, Snowflake, Python, AWS) are widely transferable across industries.

Shortlisting Strictness

(High)

Explicit 5+ years and mandatory Snowflake/AWS/Python/ETL requirements increase shortlisting rigidity.

Estimated fit based on your resume

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Structured overview of role & requirements

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

Perform reverse engineering of physical data models from databases and SQL scripts to support system understanding.

Support data architecture decisions including data movement strategies, technology choices, and integration solutions to maximize business value.

5+ years of experience as a Data Engineer.

Proven expertise in advanced SQL querying including joins, subqueries, and CTEs.

Experience working with Snowflake, ETL processes, and CI/CD pipelines.

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

Strong hands-on experience with data modeling concepts like star and snowflake schemas.

Familiarity with AWS services focusing on S3 and Glue, along with knowledge of Python.

Capable of analyzing complex system integration challenges and suggesting scalable solutions aligned with data architecture strategies.