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

JPMorganChase

JPMorganChase

Software Engineering, Data Science
Mumbai, Maharashtra, India · Bengaluru, Karnataka, India
Posted on Feb 27, 2026

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.

Required qualifications, capabilities, and skills

  • 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.

Carry out critical tech solutions across multiple technical areas as an integral part of an agile team