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Mid-level data engineer in a metro with common Snowflake/SQL/AWS skills attracts many applicants.
Data engineering skills (SQL, ETL, Snowflake, AWS) are moderately transferable across industries.
Explicit 5+ years plus mandatory Snowflake, SQL, Python and AWS makes selection filters stringent.
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Translate business needs into long-term-supporting data models and reverse engineer physical data models from databases and SQL scripts.
Analyze data system integration challenges and propose solutions to enable effective data flow and usage.
Support setting data architecture direction including data movement strategies and technology choices to ensure business value.
Minimum 5 years of experience as a Data Engineer.
Strong expertise in advanced SQL querying (joins, subqueries, CTEs, aggregation).
Experience with Snowflake, ETL, SQL, CI/CD, and Python.
Bachelor’s degree in Computer Science, Software Engineering, MIS or equivalent.
Experienced in complex data modeling including star and snowflake schemas.
Familiar with AWS data services, especially S3 and Glue, and proficient at integrating these into data pipelines.
Capable of influencing data architecture strategy and solving integration challenges in a hybrid work environment in Gurugram.