AmeriLife
1001 - 5000 employees
Founded 1973
💸 Finance
💰 Secondary Market on 2022-06
Finance • Insurance
AmeriLife is a leading independent marketing organization and registered investment advisor in the United States. It provides comprehensive insurance and financial solutions to agents, advisors, and consumers, aiming to help people live longer, healthier lives. AmeriLife collaborates with numerous carriers, financial marketing organizations (FMOs), and industry experts to deliver health and financial solutions to millions of Americans annually. With a vast network of over 300,000 client-centered agents and advisors, AmeriLife offers advanced technology solutions and tools, like the Agent Xcelerator®, to enhance service quality and business growth. Their commitment to leadership is evident in their extensive distribution network and innovative partnership opportunities.
Senior Data Engineer – PySpark
🕒 April 14
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AmeriLife
1001 - 5000 employees
Founded 1973
💸 Finance
💰 Secondary Market on 2022-06
Finance • Insurance
AmeriLife is a leading independent marketing organization and registered investment advisor in the United States. It provides comprehensive insurance and financial solutions to agents, advisors, and consumers, aiming to help people live longer, healthier lives. AmeriLife collaborates with numerous carriers, financial marketing organizations (FMOs), and industry experts to deliver health and financial solutions to millions of Americans annually. With a vast network of over 300,000 client-centered agents and advisors, AmeriLife offers advanced technology solutions and tools, like the Agent Xcelerator®, to enhance service quality and business growth. Their commitment to leadership is evident in their extensive distribution network and innovative partnership opportunities.
📋 Description
• Build and maintain PySpark pipelines in Databricks • Develop scalable data ingestion and transformation workflows • Implement data validation and quality checks • Optimize Spark workloads and processing performance • Work closely with architecture and analytics teams
🎯 Requirements
• Strong expertise in Python and SQL • Experience with PySpark, Spark, and Databricks • Experience building ETL/ELT pipelines • Strong understanding of data transformation and performance optimization • Databricks certification (bonus) • AWS or Azure certification (bonus)
🏖️ Benefits
• PTO • medical • dental • vision • retirement savings • disability insurance • life insurance
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