The Data Transformation team is responsible for driving key automation projects, machine learning based solutions and lean initiatives across S&P Global Market Intelligence
Job Summary
The Data Transformation team is responsible for driving key automation projects, machine learning based solutions and lean initiatives across S&P Global Market Intelligence.
You will be part of a dynamic team that solves diverse problems using applied machine learning and web development with an end-to-end implementation of the solution: inception, prototyping, development, and productionizing.
S&P Global offers comprehensive benefits including health care coverage, flexible downtime, continuous learning opportunities, financial wellness programs, and family friendly perks.
Matching Summary
The Data Transformation team is responsible for driving key automation projects, machine learning based solutions and lean initiatives across S&P Global Market Intelligence.
Skills & Requirements
Must-have
Java 8 web development
Design pattern concepts
Data structures and algorithms
Microservices architecture
Scalable and efficient coding
End-to-end solution implementation
Nice-to-have
TypeScript experience
Vaadin framework knowledge
Familiarity with HTML and CSS
AWS or cloud computing experience
Experience with SQL and NoSQL databases
Automated unit testing frameworks
High level of autonomy
Applied machine learning solutions
Key Requirements
3+ years Java web development experience
Bachelor’s degree in computer science or equivalent
Experience designing and owning solutions end to end