Principal Data Engineer (Director)
Aumni
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See open jobs at Aumni.See open jobs similar to "Principal Data Engineer (Director)" NEXT Frontier Capital.Job Description
Short job description:
Make a significant impact by joining our team, serving millions of Chase customers.
Description :
Join JPMorgan's transformation into a technologically advanced, client-centric company. We're investing in cutting-edge infrastructure, data, and AI technology and are seeking top talent for our Data engineering team. Our mission is to incorporate machine learning into our key customer products, working closely with our engineering and technology partners. Candidates should have a strong computer science background and be ready to manage comprehensive projects. This role provides a unique opportunity to make a significant impact on the financial services industry.
The mission of the Payments Trust & Safety Team is to keep the JPMC and our clients safe as they transact through ACH, Wire and Credit card channels. The Data team is responsible to make large-scale data across lines of Business for applying machine-learning to our most critical and wide-range customer products to solve not only Trust & Safety problems (e.g. Fraud) but also related problems (e.g. payment optimization, forecasting). As a member of this team you will work with many lines of business and develop Machine Learning solutions that has a broader impact for the bank. We work closely with our engineering and product partners to develop and deploy solutions to reach out customers. We value our customers’ direct feedback and function in a truly agile way to incorporate changes to improve application experience. We are executing like a startup and building the next generation technology that combines JPMC unique data and full service advantage to develop high impact AI applications and platforms in the financial services industry. We are looking for people who are excited about the opportunity.
As a Director of Data mgmt within the Payments AI/ML team at JPMorgan, 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 JPMC.
Job Responsibilities:
- Collaborate 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.
- Design and implement 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 large scale technology program concepts and 10+ years applied experience in Data Technologies. In addition, 5+ years of experience leading technologists to manage, anticipate and solve complex technical items within your domain of expertise
- Solid programming skills with Java, Python or other equivalent languages.
- Experience across the data lifecycle, building Data frameworks, working with Data lakes.
- Experience with Batch and Real time Data processing with Spark or Flink
- Working knowledge of AWS Glue and EMR usage for Data processing
- Experience working with Databricks
- Experience working with Python/Java, PySpark etc.
- Working experience with both relational and NoSQL databases
- Experience in ETL data pipelines both batch and real-time data processing, Data warehousing, NoSQL DB.
- Strong analytical and critical thinking skills.
- Self-motivation, great communication skills and team player.
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
This job is no longer accepting applications
See open jobs at Aumni.See open jobs similar to "Principal Data Engineer (Director)" NEXT Frontier Capital.