We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. 

 

As an MDS Data Modelling Engineer Associate at JPMorgan Chase in the Market Data Services team, Commercial & Investment Bank (CIB), you will promote innovation in data structuring and integration for market data discovery and digital rights management. As a key contributor, you will leverage your expertise in Python, SQL/NoSQL, RDF/SPARQL, and cloud technologies to model, transform, and structure data from leading market data vendors. You will play a pivotal role in building scalable data solutions and APIs for the SCUDO platform, supporting business users with high-quality, actionable data.

 

As an Associate Engineer, you will be instrumental in defining schemas for diverse datasets delivered via Snowflake, Databricks, or AWS S3, and integrating them into AWS Neptune or other internal databases. You will collaborate with cross-functional teams to deliver robust data models and API endpoints, ensuring alignment with business and regulatory requirements.

 

Job Responsibilities

Model and structure currently available market data and define new schemas for integration into internal databasesDesign, implement, and maintain Kubernetes clusters for scalable data solutionsAutomate deployment, scaling, and management of containerized applicationsDesign, develop, and maintain RESTful and/or GraphQL APIs using PythonCollaborate with stakeholders to ensure data solutions meet business and regulatory requirementsWork with datasets from major Market Data Vendors (Bloomberg, LSEG, Factset, S&P) and define schemas post-deliveryManage data integration and transformation using cloud platforms (AWS) and database technologiesMaintain comprehensive technical documentation and API specificationsActively participate in Agile ceremonies and two-week sprint cycles

 

Required Qualifications, Capabilities, And Skills

Proven experience in data modelling within professional services or contract environmentsStrong hands-on expertise with Python, SQL/NoSQL, RDF/SPARQLDeep familiarity with API documentation tools (Swagger/OpenAPI)Experience in design and development of APIsExposure to microservices and event-driven architecturesExperience with AWS databases and Oracle database productsProficient in SQL for Oracle and No-SQL DSL for ElasticSearchExperience working in Agile teamsDeep familiarity with W3C standards for data modelling and interoperabilityExcellent communication and stakeholder management skills

 

Preferred Qualifications, Capabilities, And Skills

Experience with DCAT/ODRL, NLP, Kubernetes, React, AWS Neptune