You thrive on diversity and creativity, and we welcome individuals who share our vision of making a lasting impact. Your unique combination of design thinking and experience will help us achieve new heights.
As a Data Engineer II at JPMorgan Chase within the Commercial & Investment Bank Payments Technology team, you are part of an agile team that works to enhance, design, and deliver the data collection, storage, access, and analytics solutions in a secure, stable, and scalable way. As an emerging member of a data engineering team, you execute data solutions through the design, development, and technical troubleshooting of multiple components within a technical product, application, or system, while gaining the skills and experience needed to grow within your role.
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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.
- Organizes, updates, and maintains gathered data that will aid in making the data actionable
- Demonstrates basic knowledge of the data system components to determine controls needed to ensure secure data access
- Adds to team culture of diversity, equity, inclusion, and respect
Required qualifications, capabilities, and skills
- Formal training or certification on large scale technology program concepts and 2+ years applied experience in Data Technologies.
- Experienced programming skills with Java and Python.
- Experience across the data lifecycle, building Data frameworks, working with Data lakes.
- Experience with Batch and Real time Data processing with Spark or Flink
- Basic knowledge of the data lifecycle and data management functions
- Advanced at SQL (e.g., joins and aggregations)
- Working understanding of NoSQL databases
- Significant experience with statistical data analysis and ability to determine appropriate tools to perform analysis
- Basic knowledge of data system components to determine controls needed
- Good knowledge / experience on infrastructure as code.
Preferred qualifications, capabilities, and skills
- Cloud computing: Amazon Web Service, Docker, Kubernetes, Terraform
- Experience in big data technologies: Hadoop, Hive, Spark, Kafka.
- Experience in distributed system design and development
ABOUT US
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
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
J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.