About the job
With Intelligence, now a part of S&P Global, is at the forefront of revolutionizing data offerings for participants in alternatives and private markets. As a member of a global organization boasting over 35,000 employees, we possess the unique ability to understand intricate nuances while maintaining a wide-ranging perspective. We empower our clients to assess new investment opportunities within the capital and commodities markets, navigate the energy sector's expansion, harness the acceleration of artificial intelligence, and adapt to the evolving landscape of public and private markets. Our mission is to advance essential intelligence.
We are embarking on an exciting phase of growth, with significant funding aimed at transforming us into a pioneering, data-centric platform that places information, automation, and insights at its core.
To meet the escalating demands of a dynamic, data-driven organization, we are expanding our data capabilities. This role is an outstanding opportunity for an enthusiastic individual ready to make a tangible impact while engaging with cutting-edge tools and contributing to our data strategy across products and teams.
Your Responsibilities
- Design, develop, and maintain scalable data architectures and ETL pipelines.
- Build and manage data models and data warehouse solutions utilizing Airflow, dbt, and Redshift.
- Write clean, efficient Python and SQL code for data processing and transformation.
- Integrate data from internal and third-party APIs and services.
- Optimize data pipelines for performance, scalability, and reliability.
- Collaborate with data scientists, analysts, and engineering teams to fulfill business requirements.
- Implement and uphold data security and compliance standards.
- Utilize version control systems (e.g., Git) to manage and maintain project codebases.
- Contribute to the ongoing enhancement of data processes and tooling across the organization.
