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Software Engineer III - Python Developer/Data Engineer

JPMorganChase

Salary not specified
Jun 20, 2025
Jersey City, NJ, US
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JPMorgan Chase Commercial & Investment Bank is developing a big data platform and Firmwide solution for Entity Resolution and Relationships (Client 360). They need a Big Data Software Engineer to implement large-scale, cloud platform processing internal and 3rd party data and enhance the existing platform.

Requirements

  • Proficiency in advanced Python programming, with extensive experience in utilizing libraries such as Pandas and NumPy.
  • Experience in code and infrastructure for Big Data technologies (e.g. Spark, Kafka, Databricks etc.) and implementing complex ETL transformations
  • Experience with AWS services including EC2, EMR, ASG, Lambda, EKS, RDS and others
  • Experience developing APIs leveraging different back-end data stores (RDS, Graph, Dynamo, etc.)
  • Experience in writing efficient SQL queries
  • Strong understanding of linear algebra, statistics, and algorithms.
  • Strong Experience with UNIX shell scripting to automate file preparation and database loads

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

Other

  • Analyze, design and implement business-related solutions and core architectural changes using Agile programming methodologies with a development team
  • Comfortable learning cutting edge technology stacks and applications to greenfield projects
  • Experience in data quality testing; adept at writing test cases and scripts, presenting and resolving data issues
  • Familiarity with relational database environment (Oracle, SQL Server, etc.) leveraging databases, tables/views, stored procedures, agent jobs, etc.
  • Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
  • Strong development discipline and adherence to best practices and standards.
  • Financial Services and Commercial banking experience is a plus