About the Role:

Grade Level (for internal use):

Job Title: Data Engineer

The Team: As a member of the EDO Collection Platforms & AI Foundational Data & Linking team you will be at the heart of S&P Globals data-driven strategy. You will build and maintain enterprise-scale data processing pipelines that power our critical data sourcing information retrieval and machine learning our AWS-based ecosystem you will have the opportunity to design resilient production-ready systems and grow your skills in a highly collaborative global environment that encourages innovation and ownership.

Whats in it for you:

• Make a significant impact by delivering data solutions at an enterprise scale for a world-leading financial information provider.
• Collaborate with a hands-on technically strong team (including leadership) that values best practices and continuous learning.
• Take ownership of solving complex high-impact data challenges from end-to-end.
• Gain deep experience in the full lifecycle of data productsfrom ideation and architecture through to deployment and maintenance in production.

Responsibilities:

• Design develop and maintain robust scalable and reliable data pipelines using Python PySpark and Databricks.
• Develop complex SQL queries optimize data models and manage large datasets within our PostgreSQL databases.
• Build and deploy ETL/ELT processes to ingest transform and load data from a wide variety of sources.
• Implement and manage CI/CD pipelines (e.g. Azure DevOps Jenkins) for automated testing and deployment of data applications.
• Ensure data quality reliability and observability by implementing comprehensive logging monitoring and alerting.
• Collaborate with data scientists analysts and other engineers to understand data needs and deliver effective solutions.
• Contribute to the evolution of our platform standards and best practices for data engineering code quality and testing.
• Create and maintain clear technical documentation for data pipelines architecture and processes.

What Were Looking For (Basic Qualifications):

• Bachelors degree in computer science Engineering or a related technical field.
• 4 years of professional experience in a data engineering role.
• Expert-level programming skills in Python and its data ecosystem.
• Demonstrated expertise in large-scale data processing using PySpark and the Databricks platform.
• Advanced proficiency in SQL with hands-on experience in database design and performance tuning specifically with PostgreSQL.

What Were Looking For (Preferred Qualifications):

• Experience with AWS services such as S3 for data storage Lambda for serverless functions and EKS for container orchestration.
• Solid understanding of CI/CD principles and experience with tools like Azure DevOps or Jenkins.
• Proficiency in writing comprehensive tests (unit integration) using frameworks like pytest.
• Strong debugging performance tuning and automation skills.
• Prior contributions to open-source projects a technical blog or a public GitHub profile.
• Familiarity with the Machine Learning (ML) lifecycle (MLOps) and an understanding of AI concepts. Experience integrating models including GenAI APIs is a strong plus.

Whats In It For You

Our Mission:

Advancing Essential Intelligence.

Our People:

Were more than 35000 strong worldwideso were able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. Were committed to a more equitable future and to helping our customers find new sustainable ways of doing business. Join us and help create the critical insights that truly make a difference.

Our Values:
Integrity Discovery Partnership

Throughout our history the worlds leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do bring a spirit of discovery to our work and collaborate in close partnership with each other and our customers to achieve shared goals.

Benefits:

We take care of you so you cantake care of business. We care about our people. Thats why we provide everything youand your careerneed to thrive at S&P Global.

Our benefits include:

• Health & Wellness: Health care coverage designed for the mind and body.

• Flexible Downtime: Generous time off helps keep you energized for your time on.

• Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills.

• Invest in Your Future: Secure your financial future through competitive pay retirement planning a continuing education program with a company-matched student loan contribution and financial wellness programs.

• Family Friendly Perks: Its not just about you. S&P Global has perks for your partners and little ones too with some best-in class benefits for families.

• Beyond the Basics: From retail discounts to referral incentive awardssmall perks can make a big difference.

For more information on benefits by country visit: Hiring and Opportunity at S&P Global:

At S&P Global we are committed to fostering a connected andengaged workplace where all individuals have access to opportunities based on their skills experience and contributions. Our hiring practices emphasize fairness transparency and merit ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration we drive innovation and power global markets.

Recruitment Fraud Alert:

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Required Experience:

IC