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Big Data Software Engineer - Python
Job Description
As a Software Engineer III at JPMorgan Chase within the Commercial & Investment Bank, you serve as a seasoned member of an agile team to design and deliver trusted market‑leading technology products in a secure, stable, and scalable way.

You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

The JPMorgan Chase Commercial & Investment Bank is undertaking a strategic initiative called Client 360 aimed at developing a big data platform and Firmwide solution for Entity Resolution and Relationships.

We are seeking a Big Data Software Engineer with skills and experience implementing large‑scale, cloud platform processing internal and third‑party data.

This individual will work on groundbreaking work to implement new solutions for Client 360 – Entity Resolution and Relationships and enhance the existing platform.

Job responsibilities
- Acquire and manage data from primary and secondary data sources
- Identify,



analyze, and interpret trends or patterns in complex data sets
- Transform existing ETL logic on AWS and Databricks
- Innovate new ways of managing, transforming and validating data
- Implement new or enhance services and scripts (in both object‑oriented and functional programming)
- Establish and enforce guidelines to ensure consistency, quality and completeness of data assets
- Apply quality assurance best practices to all work products
- Analyze, design and implement business‑related solutions and core architectural changes using Agile programming methodologies with a development team
- Become comfortable with learning cutting‑edge technology stacks and applications to greenfield projects

Qualifications
- Proficiency in advanced Python programming, with extensive experience in utilizing libraries such as Pandas and Num

Py.
- Experience in code and infrastructure for Big Data technologies (

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