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Strong employer brand plus a mid-level data engineering role produces moderate applicant competition.
Snowflake, SQL, Airflow and Python skills are highly transferable across industries.
Explicit 6-9 years requirement and mandatory Snowflake, cloud, and ETL tooling enforce strict filters.
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Design, develop, and optimize ELT/ETL pipelines and scalable data warehouse solutions using Snowflake.
Collaborate with data scientists, analysts, and business teams to translate data requirements into technical solutions.
Manage data ingestion, enforce data quality and governance, and optimize Snowflake environments for performance and cost efficiency.
6 to 9 years of experience as a Data Engineer with hands-on experience in Snowflake.
Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field (BE, B.Tech, MCA, M.Tech, MBA).
Strong proficiency in SQL and experience with Snowflake-specific SQL features.
Experience with data integration tools (e.g., Apache Airflow, dbt, Talend, Informatica) and cloud platforms (AWS, Azure, or GCP).
Experienced in building and maintaining performant and secure Snowflake-based data warehousing solutions.
Capable of collaborating cross-functionally with technical and business teams to deliver data-driven solutions.
Skilled in automating deployment and testing with CI/CD and troubleshooting data issues efficiently.