The S&P Global Ratings, Data Modernization and Automation team is responsible for providing data automation capabilities and solutions along with creating efficiencies in processes. The overall team operates globally and brings together business and technical skills to drive data transformation. As a Data Engineer, you will design and implement solutions that showcase business value through prioritization methods and work with teams across the business.

Responsibilities:

• Interpret and analyze business use-cases and feature requests into technical designs and development tasks.

• Accountable for analyzing new assignments, developing scripts and tests to validate data, handling change requests, and providing quick and efficient solutions.

• Deliver real, measurable business value with ownership and accountability for the results.

• Actively participate in regular design and code reviews.

• Work with highly skilled teammates in a collaborative and fast-paced team environment.

• Adhere to and apply software engineering practices and implement automation across all elements of solution delivery.

• Explore the whole of S&P Global Ratings by performing automation assessments on ideas submitted from all internal departments.

Expected Behaviors:

• Perspective: Understands the team’s broader goals and how their work plays a role, applying their skills or knowledge to situations where the output is defined.

• Impact: Takes initiative to provide support to the team, paying close attention to detail and identifying potential issues, while delivering as part of a broader agenda.

• Emotional Intelligence: Actively listens, seeking to understand other perspectives and concerns, fostering inclusivity and collaboration.

• Collaboration: Collaborates effectively with colleagues to achieve common goals, working beyond immediate tasks to contribute to team success.

• Time Management: Consistently delivers high-quality work and meets deadlines, assessing urgency in tasks allocated to them.

• Adaptability: Resourceful and solution-oriented, able to shift priorities and actions as team objectives shift.

• Creativity: Generates new ideas and thinks outside the box, proactively seeking opportunities for innovation and improvement.

• Communication: Communicates effectively, expressing thoughts clearly and persuasively, and actively participates in collaborative efforts/team discussions.

• Leadership: Acts as a team player by being supportive and collaborative, demonstrating commitment to work and team.

What We’re Looking For:

• Bachelor’s degree in Computer Science, Engineering, or a related discipline, or equivalent experience.

• Proficiency with at least one complementary programming language (Python, etc.).

• Understanding of CI/CD pipelines.

• Intermediate SQL knowledge.

• Database and data frames knowledge.

• Knowledge of financial domains, preferred.

• Experience with Power BI/Tableau.

• Experience writing test stories and conducting unit testing (UAT) to validate, debug, and document issues and release succession.

• Experience with Agile software development processes.

• Exposure to cloud-based infrastructures, preferably with AWS, Databricks.

• Fluent in English.

Additional Preferred Qualifications:

• Team player who can coordinate multiple projects and prioritize effectively against a timeline.

• Demonstrates a thorough understanding of information systems, business processes, the key drivers, and measures of success while choosing the proper methodologies and policies to support broad business goals.

• Excellent aptitude for learning, experimenting, and picking up new technologies quickly.

• Ability to work in cross-functional, multi-geography teams displaying cultural sensitivity and championing a global mindset.

• Aptitude to solve complex problems, critical thinking, and out-of-the-box thinking.

• Ability to present own ideas and solutions, as well as guide technical discussions.

• Ability to work in a team-oriented environment and, in addition, can work independently.

• Office presence twice a week.