As a Data Platform Engineer, you will build scalable infrastructure for financial products, establish data services, and assist teams with data needs, ensuring regulatory compliance.
Job Description
Out of the successful launch of Chase in 2021, we're a new team, with a new mission. We're creating products that solve real world problems and put customers at the center - all in an environment that nurtures skills and helps you realize your potential. Our team is key to our success. We're people-first. We value collaboration, curiosity and commitment.
As a Data Platform Engineer at JPMorgan Chase within the Accelerator business, you are the heart of this venture, focused on getting smart ideas into the hands of our customers. You have a curious mindset, thrive in collaborative squads, and are passionate about new technology. By your nature, you are also solution-oriented, commercially savvy and have a head for fintech. You thrive in working in tribes and squads that focus on specific products and projects - and depending on your strengths and interests, you'll have the opportunity to move between them.
Technologies we use: Java, Kotlin, Kubernetes, Apache Kafka, GCP, BigQuery, Spark
While we're looking for professional skills, culture is just as important to us. We understand that
everyone's unique - and that diversity of thought, experience and background is what makes a
good team, great. By bringing people with different points of view together, we can represent
everyone and truly reflect the communities we serve. This way, there's scope for you to make a
huge difference - on us as a company, and on our clients and business partners around the
world.
Job responsibilities:
Required qualifications, capabilities and skills:
Preferred qualifications, capabilities and skills:
About Us
J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
About the Team
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.
Out of the successful launch of Chase in 2021, we're a new team, with a new mission. We're creating products that solve real world problems and put customers at the center - all in an environment that nurtures skills and helps you realize your potential. Our team is key to our success. We're people-first. We value collaboration, curiosity and commitment.
As a Data Platform Engineer at JPMorgan Chase within the Accelerator business, you are the heart of this venture, focused on getting smart ideas into the hands of our customers. You have a curious mindset, thrive in collaborative squads, and are passionate about new technology. By your nature, you are also solution-oriented, commercially savvy and have a head for fintech. You thrive in working in tribes and squads that focus on specific products and projects - and depending on your strengths and interests, you'll have the opportunity to move between them.
Technologies we use: Java, Kotlin, Kubernetes, Apache Kafka, GCP, BigQuery, Spark
While we're looking for professional skills, culture is just as important to us. We understand that
everyone's unique - and that diversity of thought, experience and background is what makes a
good team, great. By bringing people with different points of view together, we can represent
everyone and truly reflect the communities we serve. This way, there's scope for you to make a
huge difference - on us as a company, and on our clients and business partners around the
world.
Job responsibilities:
- Build infrastructure to support financial products at scale.
- Setting up the data platform to complement the application platform which will provide modern data services for the applications running on it (ingestion, querying, governance, etc.).
- Use open source products whenever we can, and roll our own solutions when that makes sense.
- Help teams to identify their data needs and help them to leverage the platform in the best possible way.
- Be a point of contact for all other teams also on regulatory/control aspects of data as we tailor our solutions to accommodate those.
Required qualifications, capabilities and skills:
- Formal training or certification on problem-solving concepts and proficient applied experience
- Being a problem solver: you can independently analyze a problem and come up with options on how to solve it.
- Flexibility regarding tools and languages: for example you have to be open to debug an SSO issue one day in a python service and dig into some Java/Kotlin out-of-memory issue the other day (of course we take into account your expertise and you will have team members to help you out!).
- Knowledge of data structures.
- Experience with either Kubernetes or Docker.
Preferred qualifications, capabilities and skills:
- Experience with at least one cloud platform.
- Experience with message brokers (Kafka, RabbitMQ, Pulsar etc.).
- Preferably experience in setting up data platforms, setting standards - not just pipelines.
- Preferably experience in a distributed data processing environment/framework (e.g. Spark or Flink).
About Us
J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
About the Team
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.
Top Skills
Apache Kafka
BigQuery
GCP
Java
Kotlin
Kubernetes
Spark
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