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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

4–8 yearsHybrid — BENGALURUhybridDirect Career PageEst. 18–30 LPA

Posted 7d 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

(High)

Mid-level popular Data Engineer title, metro location, and 4–8 year band increase applicant competition.

Background Fit Sensitivity

(Moderate)

Core data engineering skills transfer across industries, but Snowflake/DBT specialization raises domain sensitivity.

Shortlisting Strictness

(High)

Mandatory Snowflake, DBT, SQL, Tableau, Python and explicit 4–8 year requirement increase shortlisting strictness.

Structured overview of role & requirements

Design, develop, and maintain scalable ETL/ELT pipelines using DBT, SQL, and Python.

Build and optimize Snowflake data warehouse solutions leveraging Snowpipe, Zero Copy Cloning, Time Travel, Fail Safe, and Data Exchange.

Develop and optimize Tableau dashboards and reports to support business analytics and reporting requirements.

4-8 years of relevant experience in data engineering or related roles.

Strong hands-on expertise in Snowflake architecture and performance optimization.

Expert-level SQL skills including PL/SQL and T-SQL.

Bachelor's Degree in Computer Science, IT, Data Engineering, or related field.

Proven experience leading Snowflake data architecture design and implementation.

Hands-on skills in DBT development, data modeling, and modern data warehouse concepts.

Ability to develop and optimize interactive dashboards using Tableau connected to cloud data warehouses.