Lead Software Engineer Python Data AWS
Lead Software Engineer Python Data AWS
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Job Description
We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.
As a Lead Software Engineer at JPMorgan Chase within the Commercial & Investment Banks Markets Research Technology Team your role will be pivotal in an agile team tasked with the design and delivery of secure robust and cuttingedge technology products. You will be instrumental in implementing vital technology solutions across a range of technical domains and business functions to further the firms business goals. Your contributions will be part of a highprofile data modernization project where your duty will be to build a scalable cloudnative data platform in accordance with strategic modern data practices. Your responsibilities will also encompass the development of data products and dataintensive applications to bolster the Research Technology client intelligence agenda. This role provides an opportunity for handson technical experience and may also include managerial responsibilities.
Job responsibilities
- Provides technical guidance and direction to support the business and its technical teams contractors and vendors
- Develops secure and highquality production code and reviews and debugs code written by others
- Drives decisions that influence the product design application functionality and technical operations and processes
- Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
- Builds endtoend modern data pipelines and solutions migrating data products to cloudnative platforms
- Designs and implements data engineering solutions leveraging cloudnative data technologies and aligning with modern data architecture strategies
- Designs and implements handson solutions while providing technical leadership and mentorship to more junior team members
- Adds to team culture of diversity equity inclusion and respect
- Embraces a passion for learning problemsolving creative thinking and a cando attitude
Required qualifications capabilities and skills
- Formal training or certification on software engineering concepts and 5 years applied experience
- Handson practical experience delivering largescale cloudnative data platforms
- Proficient in system design application development testing and operational stability
- Advanced experience in one or more programming language(s) Python
- Proven track record in system design architecting and developing microservices distributed systems and dataintensive applications
- Experience with Cloud services Infrastructure as Code containerized application development big data and modern data engineering technologies
- Practical experience developing Productionscale Cloudnative data engineering solutions in commercial environments
- Familiarity with Cloud Data engineering services (e.g. ETL Glue S3 Athena RedShift) PySpark
- Experience developing APIs and Backend services
- Ability to convey design choices and results clearly and communicate effectively to stakeholders of various backgrounds
Preferred qualifications capabilities and skills
- Experience with data and application migration to AWS in commercial settings
- Familiarity with data quality observability and lineage tooling
- Experience developing APIs and Backend services
- Experience collaborating with data analysts reporting teams or business analysts
- Familiarity with modern Business Intelligence and reporting tools
Employment Type
Full-Time
