Join our Payments AI / ML Team as a Principal Data Engineer. As a vital core member of an agile team, your innovative spirit and unparalleled knowledge is a catalyst for change and serves as an inspiration for bringing innovative solutions to life.
Your visionary leadership and pursuit of excellence makes a lasting impact on the firm and industry.
As a Principal Data Engineer at JPMorgan Chase within the Corporate Investment Bank Payments AI / ML Team, you will collaborate with all lines of business and functions to deliver innovation, efficient solutions.
You will have the opportunity to research, experiment, develop, and productionize high-quality machine learning models, services, and platforms to make a significant business impact.
You will also design and implement highly scalable and reliable data processing pipelines and perform analysis and insights to promote and optimize business results.
You will hire and lead a team of ML scientists as we set out to solve impactful business problems at JPMorgan Chase.
Job responsibilities
- Partners with all of JPMorgan’s lines of business and functions to delivery software solutions.
- Experiments, architects, develops and productionizes efficient Data pipelines, Data services and Data platforms contributing to the Business.
- Designs and implements highly scalable, efficient and reliable data processing pipelines and perform analysis and insights to drive and optimize business result.
- Acts on previously identified opportunities to converge physical, IT, and data security architecture to manage access
- Mentors and coaches junior engineers and technologists.
- Champions the firm’s culture of diversity, equity, inclusion, and respect
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 10+ years applied experience
- Collaborates with all of JPMorgan’s lines of business and functions to delivery software solutions.
- Experiment, Architect, develop and productionize efficient Data pipelines, Data services and Data platforms contributing to the Business.
- Designs and implements highly scalable, efficient and reliable data processing pipelines and perform analysis and insights to drive and optimize business result.
- Acts on previously identified opportunities to converge physical, IT, and data security architecture to manage access
- Mentors and coaches junior engineers and technologists.
- Champions the firm’s culture of diversity, equity, inclusion, and respect
Preferred qualifications, capabilities, and skills
- Cloud computing : Google Cloud, Amazon Web Service, Azure, Docker, Kubernetes.
- Experience in big data technologies : Hadoop, Hive, Spark, Kafka.
- Experience in distributed system design and development
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