Sr AWS Data Engineer with Strong Python/ PySpark & Snowflake Cortex : Only USA

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About this kind of role

What a Sr AWS Data Engineer with Strong Python/ PySpark & Snowflake Cortex : Only USA usually does. The employer's own details are in the listing.

Typically does: A Senior AWS Data Engineer designs, builds, and maintains data pipelines and infrastructure within Amazon Web Services. This role involves extracting, transforming, and loading (ETL) data from various sources into data warehouses and data lakes. They also implement data quality checks, monitor system performance, and troubleshoot data-related issues. Collaboration with data scientists, analysts, and other engineers is a frequent part of the work.

Tools and skills: Proficiency in Python, PySpark, Snowflake, AWS services (such as S3, EC2, Lambda, Glue, and Redshift), SQL, and data warehousing concepts is typically required.

Good fit for: Individuals with strong analytical and problem-solving skills, a passion for data, and experience in building scalable and reliable data solutions thrive in this role.