Join a fast‑moving data engineering team that powers critical financial index workflows. You’ll help modernise the stack with NeoXam and Databricks, ensuring data quality and reliability for global operations and client‑facing products.
What You’ll Do
- Implement and onboard NeoXam for enterprise data use cases.
- Build and maintain ingestion, validation, transformation, and distribution pipelines.
- Collaborate with Business, Operations, QA, and Architecture teams on requirements.
- Support Databricks‑based processing, archival, and transformation projects.
- Participate in automation, CI/CD, testing, and environment management.
- Provide production support, troubleshoot issues, and document solutions.
What You Need
- Strong SQL expertise and relational database knowledge.
- Proficiency in Python for data processing and automation.
- Understanding of data modeling, ETL, and data validation concepts.
- Experience with Git/GitHub and software development best practices.
- Analytical problem‑solving skills and ability to learn quickly.
- Effective communication and teamwork in a fast‑paced environment.
Good to Have
- Familiarity with Databricks or similar cloud data platforms.
- Exposure to NeoXam, Markit EDM, or related data management tools.
- Experience with AWS or other cloud services.
- Knowledge of CI/CD pipelines and automation frameworks.
The Opportunity
You’ll gain hands‑on experience with enterprise‑grade platforms while working alongside seasoned engineers on large‑scale financial data initiatives. S&P Dow Jones Indices underpins $7.4 trillion of passive assets, offering a unique chance to impact the world’s most widely used market benchmarks.