Join S&P Global as a Senior Software Developer - Python

Grade Level: 10
Segment: S&P Global Corporate
Team: Sustainable1

About the Role

We're seeking a highly motivated and skilled Senior Software Developer to join our Sustainable1 team. This role is pivotal in accelerating our automation efforts, enhancing the architecture, design, scalability, and performance of our evolving needs.

Key Impact

Your contributions will directly influence the efficiency and effectiveness of our automation capabilities, driving sustainable growth and long-term innovation.

What's in it for You?

Work in a fast-paced, agile environment handling massive volumes of data. You'll have the chance to hone your data skills and work with cutting-edge technology stacks.

Responsibilities

• Design and implement software components for our shared automation capabilities platform.
• Perform analysis and articulate solutions.
• Design the underlying engineering for various product offerings supporting a large volume of end-users.
• Develop project plans including task breakdowns and estimates.
• Manage and improve existing solutions.
• Solve complex problems by weighing their costs and benefits.
• Perform other duties as assigned.

What We're Looking For

Basic Qualifications

• Bachelor’s/Master’s Degree in Computer Science, Information Systems, or equivalent.
• 5+ years of experience in application development.
• Proficient with SDLC methodologies like Agile, Test-driven development.
• Proficient with Python; experience with Java/J2EE, Scala, and C# is a plus.
• Experience with stream processing engines like Kafka, Spark, etc.
• Experience in building event-driven, scalable, and resilient systems.
• Experience with Big Data platforms such as Apache Hadoop and Apache Spark, NiFi.
• Experience with SQL and NoSQL databases (e.g., Elasticsearch).
• Experience with CI/CD tools such as ArgoCD, GitLab, etc.
• Experience with Infrastructure as Code (IaC) such as Terraform.
• Experience with containerization and orchestration technologies like Docker and Kubernetes.

Preferred Qualifications

• Familiarity and/or enthusiasm with Data Science / Machine Learning.
• Familiarity with MLOps.
• Experience working in cloud environments such as AWS, Azure, or GCP.
• Experience in Databricks, SnowFlake.
• Experience building APIs.
• Experience with Data Engineering.
• Experience with Document Storage Systems.
• Experience with DAG orchestration such as Airflow.

About Sustainable1

Sustainable1 is S&P Global’s centralized source for sustainability intelligence, providing extensive market coverage and insights to help assess risks, uncover opportunities, and inform long-term sustainable growth. Learn more at .

What We Offer

• Health & Wellness: Comprehensive mind and body health coverage.
• Flexible Downtime: Generous time off for work-life balance.
• Continuous Learning: Access to resources to grow your career and learn new skills.
• Future Investments: Competitive pay, retirement planning, and financial wellness programs.
• Family-Friendly Perks: Inclusive benefits for you and your loved ones.
• Additional Perks: Retail discounts, referral incentives, and more.

For more details, visit: .

Diversity, Equity, and Inclusion

At S&P Global, we believe that diversity fuels creativity, equity unlocks opportunity, and inclusion