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About JPMorgan Chase
JPMorgan Chase & Co. is a global financial services firm and one of the largest banks in the world, offering investment banking, commercial banking, asset management, and consumer financial services.
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As a Data Engineering Associate, you will join a collaborative engineering team to design, develop, and deliver scalable software solutions that support critical business operations. You will be responsible for the full software development lifecycle, including coding, testing, deployment, and performing root cause analysis to resolve technical issues. Your daily work involves building and optimizing ETL/ELT pipelines, managing data ingestion, transformation, and serving layers while maintaining high-quality code through peer reviews and CI/CD pipelines. You will utilize a technical stack including Databricks, SQL, Oracle (PL/SQL), and Git-based workflows in IntelliJ IDEA. Key skills include data modeling with ERwin, handling JSON semi-structured data, and integrating Databricks Genie Spaces with ThoughtSpot. Additionally, you will leverage enterprise-authorized AI coding tools to enhance productivity while ensuring secure, responsible AI practices within the engineering workflow.