Lead Software Engineer - Data Engineering (Python, AWS, ETL) at JPMC Candidate Experience page

Mumbai, maharashtra, India -

Full Time

Start Date

Immediate

Expiry Date

28 May, 26

Salary

0.0

Posted On

27 Feb, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, AWS, ETL, SQL, Data Management, Data Pipeline, Redshift, S3, EC2, Lambda, Athena, EMR, AWS Glue, Agile-Scrum, CI/CD, DevOps

Industry

Financial Services

Description

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.

Responsibilities

The role involves managing the end-to-end development and maintenance of the market data platform, partnering with stakeholders to deliver innovative solutions, and architecting data ETL processes and objects. Responsibilities also include building, mentoring, and managing a team of developers and testers while planning and executing agile sprints.