Description
The Senior Data Engineer Snowflake + AWS will build, operate, and maintain data pipelines connecting AWS services such as S3, Glue, Step Functions, and IAM with Snowflake, while supporting vendor code reviews, data quality and reconciliation, production monitoring, incident resolution, SQL tuning, and technical documentation. The role requires 3–5 years of data engineering experience, including at least 2 years building and operating Snowflake and AWS pipelines, along with advanced SQL, Python or PySpark, and familiarity with data warehouse, ETL/ELT, and data operations practices.
