JPMorganChase is looking for a Software Engineer III to design and deliver trusted market-leading technology products in a secure, stable, and scalable way, serving as a seasoned member of an agile team to execute creative software and data solutions across multiple technical areas in support of the firm's business objectives.
Requirements
- Formal training or certification in software engineering concepts with 2+ years of applied experience
- 3+ years in data engineering, including design, application development, testing, and operational stability.
- Advanced proficiency in data processing frameworks and tools, including Parquet, Iceberg, PySpark, Glue, Lambda, Databricks, and AWS data services like EMR, Athena, and Redshift.
- Proficiency in programming languages like Python, Java, or Scala for data processing and application development.
- Proficiency in automation and continuous delivery methods, utilizing CI/CD pipelines with tools like Git/Bitbucket, Jenkins, or Spinnaker for automated deployment and version control.
- Hands-on practical experience delivering system design, application development, testing, and operational stability
- Understanding of agile methodologies, application resiliency, and security.
Responsibilities
- Execute creative software and data solutions, including design, development, and technical troubleshooting, by thinking beyond routine approaches to build solutions or break down technical problems.
- Develop secure, high-quality production code and data pipelines, reviewing and debugging processes implemented by others.
- Identify opportunities to eliminate or automate remediation of recurring issues to improve operational stability of software applications and systems.
- Work with business stakeholders to understand requirements and design appropriate solutions, producing architecture and design artifacts for complex applications.
- Implement robust monitoring and alerting systems to proactively identify and address data ingestion issues, optimizing performance and throughput.
- Implement data quality checks and validation processes to ensure accuracy and reliability of data.
- Help design and implement scalable data frameworks to manage end-to-end data pipelines for workforce data analytics.
Other
- seasoned member of an agile team
- understanding requirements
- AWS Certification
- Databricks Certification
- In-depth knowledge of the financial services industry and their IT systems.
