Design and build scalable data pipelines using Snowflake and AWS. Implement ELT/ETL frameworks and data ingestion solutions. Optimize Snowflake performance and query execution. Integrate AWS services with Snowflake environments. Support data governance and platform reliability.
Additional Responsibilities:
Python, DBT, Airflow. AWS and Snowflake Certifications. Data Modeling experience.
Technical and Professional Requirements:
Strong experience in Snowflake and AWS. Expertise in SQL, Data Warehousing, and ETL/ELT concepts. Experience with Snowpipe, Streams, Tasks, and Data Sharing. Good understanding of cloud-native data platforms.
