Software Engineer II

Job Description

You’re ready to gain the skills and experience needed to grow within your role and advance your career — and we have the perfect software engineering opportunity for you.

As a Software Engineer II at JPMorgan Chase as a part of Corporate and Investment Bank, you are part of an agile team that works to enhance, design, and deliver the software components of the firm’s state-of-the-art technology products in a secure, stable, and scalable way. As an emerging member of a software engineering team, you execute software solutions through the design, development, and technical troubleshooting of multiple components within a technical product, application, or system, while gaining the skills and experience needed to grow within your role.

Job Responsibilities

• Design, develop, and maintain scalable data pipelines and ETL processes to support data integration and analytics.
• Frequently utilizes SQL and understands NoSQL databases and their niche in the marketplace
• 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
• Leverage advanced analytical skills to improve data pipelines and ensure data delivery is consistent across projects
• Monitor and executes data quality checks to proactively identify and address anomalies. Ensure data availability and accuracy for analytical purposes
• Identify opportunities for process automation within data engineering workflows
• Communicate technical concepts to both technical and non-technical stakeholders. Deploy and manage containerized applications using Kubernetes (EKS) and Amazon ECS.
• Implement data orchestration and workflow automation using AWS step , Event Bridge. Use Terraform for infrastructure provisioning and management, ensuring a robust and scalable data infrastructure.
  
  

• Formal training or certification on Data Engineering concepts and 3+ years applied experience. Experience across the data lifecycle
• Advanced at SQL (e.g., joins and aggregations)
• Advanced knowledge of RDBMS like Aurora. Experience in Microservice based component using ECS or EKS
• Working understanding of NoSQL databases. 4 + years of Data Engineering experience in building and optimizing data pipelines, architectures, and data sets ( Glue or Databricks etl)
• Proficiency in object-oriented and object function scripting languages (Python etc.)
• Experience in developing ETL process and workflows for streaming data from heterogeneous data sources
• Willingness and ability to learn and pick up new skillsets
• Experience working with modern DataLakes: Databricks )
• Experience building Pipeline on AWS using Terraform and using CI/CD piplelines