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Mid-level generalist data engineer title, metro location, and 3–6 year range increases competition.
Snowflake platform and data warehousing focus moderately favors candidates with data engineering background.
Explicit 3-6 years requirement plus mandatory Snowflake, SQL and Python make shortlisting stringent.
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Design, develop, and maintain ETL/ELT processes to extract, transform, and load data into Snowflake.
Integrate data from multiple sources ensuring quality, consistency, and optimize ETL/ELT processes for performance and scalability.
Collaborate with data architects, analysts, and stakeholders to understand requirements and document data flows and models relevant for analytics.
3-6 years overall IT experience with at least 2+ years of Snowflake platform data engineering experience.
2+ years of experience writing complex SQL queries, stored procedures, and analytical functions.
Proficient in Python scripting and familiar with ETL/ELT tools such as Informatica, Talend, or similar.
Bachelor’s degree required; equivalent relevant work experience may substitute for degree.
Experienced data engineer comfortable working independently and collaboratively in a team environment with multiple stakeholders.
Strong background in data warehousing concepts, data modeling, and database fundamentals (ER modeling, DDL/DML).
Prior exposure to financial services or banking domain and familiarity with Agile development environment is a plus but not mandatory.