Snowflake & PySpark Data Engineer | Scale Data Warehouses
ValueMomentum, Inc.
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Job summary
Value Momentum is seeking a skilled Snowflake Engineer with PySpark expertise in Lincoln, RI, to build scalable, governed data solutions. You will design Snowflake data warehouses, optimize pipelines, and leverage PySpark for ETL/ELT processes, with a focus on streams, tasks, and metadata management.
Experience with AWS/Azure is beneficial. Join a team of engineers in Value Momentum’s Technology Solution Center, delivering innovative data and BI solutions for the P&C insurance industry, while
Qualifications
- 5–7 years of data engineering experience with Snowflake and PySpark.
- Strong hands-on design of Snowflake schemas, pipelines, and query optimization.
- Snowflake governance, metadata management, and data lineage knowledge.
- Experience with Agile/Scrum methodologies and ability to work in a team.
Responsibilities
- Design, develop, and manage data pipelines in Snowflake for scalable data warehousing.
- Implement and maintain PySpark notebooks for ETL/ELT processes with Snowflake.
- Develop and optimize PySpark scripts for data transformation and workflow automation.
- Integrate AWS with Snowflake stages for enhanced data processing.
- Collaborate with cross-functional teams to translate business needs into technical solutions.
- Monitor and troubleshoot Snowflake and PySpark workflows for performance and reliability are maintained.
Skills
Tools
Job description
Value Momentum is seeking a skilled Snowflake Engineer with PySpark expertise in Lincoln, RI, to build scalable, governed data solutions. You will design Snowflake data warehouses, optimize pipelines, and leverage PySpark for ETL/ELT processes, with a focus on streams, tasks, and metadata management.
Experience with AWS/Azure is beneficial. Join a team of engineers in Value Momentum’s Technology Solution Center, delivering innovative data and BI solutions for the P&C insurance industry, while
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