JPMorgan Chase's Commercial & Investment Bank is developing a big data platform and Firmwide solution for Entity Resolution and Relationships called Client 360. This initiative requires implementing large-scale, cloud platform processing for large amounts of data, as well as AI/ML solutions for complex problems.
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
- Identify, analyze, and interpret trends or patterns in complex data sets
- Innovate new ways of managing, transforming and validating data
- Implement new or enhance services and scripts
- Ideate, propose and implement AI/ML/LLM solutions for complex problems and automate manual processing using agentic frameworks
- Acquire and manage data from primary and secondary data sources and build ETL pipelines
- 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
Other
- 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.
