We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. 

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 an  Big Data Software Engineer with skills and experience implementing large-scale, cloud platform processing internal and 3rd party data. This individual will work on groundbreaking work to implement new solutions for Client 360 - Entity Resolution and Relationships and also 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  Comfortable 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 NumPy.Experience in code and infrastructure for Big Data technologies (e.g. Spark, Kafka, Databricks etc.)  and implementing complex ETL transformationsExperience 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  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.   

Preferred Skills 

Experience in Data Science, Machine Learning and AI is a plus  Financial Services and Commercial banking experience is a plus  Familiarity with NoSQL platforms (MongoDB, AWS Open Search) is a plus