Software Engineer III- Python, Databricks
About The Position
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 and Investment Bank, you serve as a seasoned member of an agile team, designing and delivering trusted, market‑leading technology products in a secure, stable, and scalable way. You are responsible for implementing critical technology solutions across multiple technical domains and business functions to support the firm’s strategic objectives. Commercial Banking Technology is executing a top‑priority initiative, Client 360, and building a Commercial and Investment Bank–wide Marketing and Events Data Platform. In this role, you will leverage your Big Data engineering expertise to implement platforms that support large‑scale data processing on both internal infrastructure and public cloud environments. You will contribute to pioneering efforts to deliver a new Marketing and Events platform for Client 360 while also enhancing and modernizing existing platforms.
Requirements
- Advanced knowledge of application, data and infrastructure architecture disciplines
- 3+ years of Experience with Python
- 2+ years of Experience in Java Development
- 2+ Experience in a Big Data technologies (e.g. AWS, Spark, Kafka, Data Bricks etc.)
- Experience in writing efficient SQL's
- Experience in implementing complex ETL transformations on big data platform
- 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.
Nice To Haves
- Ability to manage multiple priorities and projects coupled with the flexibility to quickly adapt to ever-evolving business needs
- Demonstrated independent problem solving skills and ability to develop solutions to complex analytical/data-driven problems
- Must be able to communicate complex issues in a crisp and concise fashion to multiple levels of management
- Excellent interpersonal skills necessary to work effectively with colleagues at various levels of the organization and across multiple locations
- 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
- Exposure to cloud technologies
Responsibilities
- Acquire data from primary or secondary data sources
- Identify, analyze, and interpret trends or patterns in complex data sets
- Transforming existing ETL logic on AWS Platform or Data Bricks
- Innovate new ways of managing, transforming and validating data
- Implement new or enhance services/scripts
- 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 code business-related solutions, as well as core architectural changes, using an Agile programming approach resulting in software delivered on time and in budget
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
