JPMorgan Chase is looking for a Software Engineer II to design and deliver trusted data collection, storage, access, and analytics solutions in a secure, stable, and scalable way for their Consumer and Community Banking and Data Technology division.
Requirements
- Formal training or certification on software engineering concepts and 2+ years applied experience
- 3+ years of experience with ETL tools like Ab Initio, Informatica, Data Pipeline and workflow management tools (Airflow, etc.)
- 3+ years of strong hands on coding experience with PySpark, Python, Iceberg and AWS
- Advanced in one or more programming language(s) like SQL, Java etc
- Proficient in all aspects of the Software Development Life Cycle
- Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
- Experience working with modern Data Lakes : (Snowflake, Databricks etc.)
Responsibilities
- Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
- Develops secure high-quality production code, and reviews and debugs code written by others
- Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
- Collaborate closely with cross-functional teams to develop efficient data pipelines to support various data-driven initiatives
- Implement best practices for data engineering, ensuring data quality, reliability, and performance
- Contribute to data modernization efforts by leveraging cloud solutions and optimizing data processing workflows
- Perform data extraction and implement complex data transformation logic to meet business requirements
Other
- Be part of a dynamic team where your distinctive skills will contribute to a winning culture and team.
- Very strong problem solving skills
- Willingness and ability to learn and pick up new skillsets
- Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning etc.)
- In-depth knowledge of the financial services industry and their IT systems
