What are the responsibilities and job description for the Data Engineer II position at JPMorgan Chase?
You’re ready to gain the skills and experience needed to grow within your role and advance your career.
As a Data Engineer II at JPMorgan Chase within Commercial & Consumer Banking, you are part of an agile team that works to enhance, design, and deliver the data collection, storage, access, and analytics solutions in a secure, stable, and scalable way.
Job responsibilities:
- Executes standard software solutions, design, development, and technical troubleshooting
- Writes secure and high-quality code using the syntax of at least one programming language with limited guidance
- Designs, develops, codes, and troubleshoots with consideration of upstream and downstream systems and technical implications
- Applies knowledge of tools within the Software Development Life Cycle toolchain to improve the value realized by automation
- Applies technical troubleshooting to break down solutions and solve technical problems of basic complexity
- Gathers, analyzes, and draws conclusions from large, diverse data sets to identify problems and contribute to decision-making in service of secure, stable application development
- Learns and applies system processes, methodologies, and skills for the development of secure, stable code and systems
- Adds to team culture of diversity, opportunity, inclusion, and respect
Required qualifications, capabilities, and skills:
- Formal training or certification on data engineering concepts and 2 years applied experience
- Designs, develop, and maintain scalable data pipelines on AWS using services such as Glue, EMR, Lambda, and Redshift.
- Collaborates with data scientists, analysts, and business stakeholders to understand data requirements and deliver solutions.
- Monitors, troubleshoot, and resolve issues in production data pipelines.
- Hands-on practical experience in system design, application development, testing, and operational stability
- Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
- Demonstrable ability to code in one or more languages
- Experience across the whole Software Development Life Cycle
- Exposure to agile methodologies such as CI/CD, Application Resiliency, and Security
- Emerging 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:
- Experience in data engineering, with a focus on cloud-based solutions (AWS).
- Strong proficiency in SQL and Python/Java.
- Exposure to cloud technologies