Lead Software Engineer - ETL and AWS

Lead Software Engineer ETL AWS

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a Lead Software Engineer at JPMorganChase within the Corporate Technology, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Job 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
• Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture
• Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
• Adds to team culture of diversity, opportunity, inclusion, and respect

 

Required qualifications, capabilities, and skills

 

• Formal training or certification in software engineering concepts with 5+ years of applied experience.
• Hands-on expertise in system design, application development, testing, and operational stability.
• Advanced proficiency in one or more programming languages, including Python for data processing and automation.
• Demonstrated experience with Informatica PowerCenter, IDMC, and ETL/data warehousing best practices.
• Strong database skills (SQL, PL/SQL) for querying, data manipulation, and schema design.
• Practical experience with AWS core services (EC2, S3, Lambda, Glue) and Databricks platform for scalable analytics.
• Proficient in automation, CI/CD pipelines, and agile methodologies such as Application Resiliency and Security.
• Skilled in job scheduling tools (e.g., AutoSys) and exposure to JIRA, Confluence, Service Now.
• Hands-on with Databricks and Apache Spark for large-scale data processing and optimizing Spark/SQL queries.
• In-depth knowledge of the financial services industry and their IT systems, including cloud-native solutions.
• Strong problem-solving, communication, and documentation skills for effective cross-functional collaboration.

 

Preferred qualifications, capabilities, and skills

 

• Knowledge in data engineering 

 

 

 

Experience Level

Senior Level