Lead Software Engineer - Data Engineering (Python, AWS, ETL)

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 Asset and Wealth Management, 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 to lead the data platform that forms the backbone of a technology-enabled investment platform and design, implement and maintain data extraction-transformation-load systems with a strong focus financial and capital markets' data.

Job responsibilities

• Manages end-to-end development, enhancement and maintenance of 55ip's market data platform
• Partners with multiple stakeholders to define & deliver innovative solutions to functional requirements
• Identifies, prioritizes and allocates tasks to effectively deliver to the firm's technology objectives.
• Architects and develops data ETL processes and data objects.
• Builds, mentors and manages a team of software developers and testers.
• Plans and executes agile-scrum sprints.
• Ensures the team delivers high quality coding standards through code reviews, conducts thorough unit or functional testing and provides support during UAT & post go-live phases.

• Formal training or certification on software engineering concepts and 5+ years applied experience
• Proven experience in data management, ETL & ELT pipeline development and large-scale data processing.
• Proficiency in Python, SQL AWS & any ETL tool.
• Strong understanding of data quality, security, and lineage best practices.
• Experience with cloud-based data warehouse migration and modernization.
• Experienced with AWS services such as Redshift, S3, EC2, Lambda, Athena, EMR, AWS Glue, data pipeline.
• Excellent problem-solving and troubleshooting skills.
• Strong communication and documentation abilities.
• Proven ability to collaborate effectively with business and technical stakeholders.
• Strong understanding of DevOps practices, CI/CD pipelines, and release management across multiple environments.