Job Description
Job Summary
10+ years of overall experience with 8+ years of experience in Data Engineering using Snowflake and AWS Should act liason between team and Data Architect/product Manager Create scalable data pipelines using Snowflake and AWS services like AWS Glue, Amazon Redshift, and S3 to support data driven initiatives. Should be very strong in SQL CTE, Partitioning, window functions Hands on Python & Spark Develop efficient ETL (Extract, Transform, Load) processes for data extraction, transformation, and loading into data warehouses and lakes. Demonstrate learning Agility and pickup new skills as required
