Data Engineer

Full Time

Join a team that builds scalable data pipelines for financial markets. You’ll shape the data lifecycle to accelerate insights across banking, real‑estate, and insurance sectors. Your work will enable global stakeholders to consume and analyze FIG datasets.

What You’ll Do

  • Build new data acquisition and transformation pipelines using cloud and advanced processing.
  • Collaborate with architecture and data integration teams on strategic pipeline alignment.
  • Implement and maintain services to support existing data feed systems.
  • Design and manage complex ETL workflows and orchestration.
  • Optimize distributed data processing for performance and scalability.

What You Need

  • Strong experience with distributed data processing frameworks (Spark, Flink).
  • Proficiency in cloud services for scalable ETL and orchestration (e.g., AWS, GCP, Azure).
  • Solid background in relational and NoSQL database design and querying.
  • Expertise in RESTful API design and object-oriented programming principles.
  • Hands‑on experience with CI/CD pipelines and Git-based DevOps.
  • Familiarity with data warehouse and analytics platform design.

Good to Have

  • Experience with real‑time data processing frameworks.
  • Familiarity with observability tools like Grafana.
  • Knowledge of data lake architecture and design.

The Opportunity

S&P Global offers extensive health & wellness coverage, generous time off, and a culture that values integrity, discovery, and partnership.

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