What are the responsibilities and job description for the Data Engineer III - PySpark/AWS position at JPMorgan Chase?
Be part of a dynamic team where your distinctive skills will contribute to a winning culture and team.
As a Data Engineer III - PySpark/AWS at JPMorgan Chase within the Payments Technology Regulatory Reporting team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading cloud 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.
Job responsibilities
- Supports review of controls to ensure sufficient protection of enterprise data
- Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
- Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
- Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
- Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems
- Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture
- Contributes to software engineering communities of practice and events that explore new and emerging technologies
- Adds to team culture of diversity, opportunity, inclusion, and respect
Required qualifications, capabilities, and skills
- 3 years hands-on practical experience in system design, application development, testing, and operational stability
- Hands-on practical experience in system design, application development, testing, and operational stability
- Proficient in coding in one or more data engineering languages/platforms - Python / PySpark / Databricks or similar
- Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
- Overall knowledge of the Software Development Life Cycle
- Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
- Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
Preferred qualifications, capabilities, and skills
- Exposure to cloud technologies Databricks, AWS MSK, EC2, EKS, S3, RDS, Lambdas
- Exposure to payment domain streaming systems
- Exposure to payment regulatory reporting