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Remote mid-level Data Engineer role with popular title and 6+yrs experience attracts many applicants.
Snowflake and AWS data engineering skills transfer broadly, though BI-connector migration experience is somewhat specialized.
Explicit 6+ years requirement plus mandatory Snowflake, AWS, and SQL skills enforce strict shortlisting.
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Build and maintain scalable ETL/ELT data pipelines using AWS and Snowflake services.
Lead migration of BI/reporting workloads and ensure seamless BI tool connectivity with Snowflake.
Optimize data models, SQL queries, and Snowflake workload performance while implementing best practices for security and cost.
6+ years of experience in data engineering with strong AWS and Snowflake expertise.
Hands-on proficiency with Snowflake Data Warehouse and SQL.
Experienced in AWS services including S3, Glue, Lambda, IAM, and CloudWatch.
Experience migrating BI connectors to Snowflake and integrating BI tools (Power BI/Tableau/Looker) via JDBC/ODBC.
Experienced in end-to-end BI workload migration projects targeting Snowflake ecosystems.
Skilled in troubleshooting production data pipeline issues and optimizing Snowflake performance and cost.
Able to collaborate effectively with BI teams, architects, and stakeholders for smooth delivery of data solutions.