AWS Data Engineer: Scalable Pipelines & Snowflake
Summary
An AWS Data Engineer designs, develops, and maintains scalable cloud data pipelines and platforms for client engagements, working with data architects and analysts. Core stack: AWS, Snowflake, Airflow, Python, PySpark, and SQL for data warehousing, ETL/ELT, and performance optimization.
PwC is seeking an experienced AWS Data Engineer to design, develop and maintain scalable data pipelines and cloud-based platforms. The role requires 4-8 years of hands-on experience with AWS, Snowflake, Airflow, Python, PySpark and SQL to support data warehousing, ETL/ELT, and performance optimization.
You will collaborate with data architects, analysts and application teams to build reliable data solutions, ensure data quality, and enable data-driven decision making across client engagements.