Senior Data Engineer

We're seeking a passionate and experienced professional who brings 5 -7 years of expertise in designing and building data-intensive solutions using distributed computing, with a proven track record of scalable architecture design. The ideal candidate will have proficiency in SQL, NoSQL, Apache Spark, Airflow, or similar tools, with deep experience operationalizing data pipelines for large-scale batch and stream processing. They will also have extensive experience deploying data engineering solutions in public cloud environments like GCP or AWS, leveraging cloud capabilities to their fullest potential.

Requirements

• 5 -7 years of expertise in designing and building data-intensive solutions using distributed computing
• Proficiency in SQL, NoSQL, Apache Spark, Airflow, or similar tools
• Extensive experience deploying data engineering solutions in public cloud environments like GCP or AWS

Benefits

• 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: It’s 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 awards—small perks can make a big difference