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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 (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

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 qualifications, capabilities and 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

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📌 Big Data Software Engineer - Python & Cloud (Buenos Aires)
🏢 TwinThread
📍 Buenos Aires