NVIDIA is looking to build scalable, efficient systems to power financial operations by designing scalable cloud services that integrate with diverse financial systems, enabling operational automation across global financial operations.
Requirements
- Technical Core: Proficiency in building REST APIs and data pipelines using Python, Java, Scala, or NodeJS, along with strong SQL and Data Analytics skills (e.g., complex querying, data profiling).
- Infrastructure Familiarity: Working knowledge of distributed systems, Linux, and cloud infrastructure (AWS/GCP/Azure), including experience with container tools like Docker.
- Analytics Visualization: Experience using tools like Tableau, PowerBI, or Superset to drive business insights from financial data.
- Financial Domain: Prior experience working with Financial/ERP data (SAP, Oracle) or understanding of basic accounting principles.
- Modern Tooling: Familiarity with 'Infrastructure as Code' concepts (Terraform) and orchestration tools like Airflow or Dagster.
Responsibilities
- Pipeline Development: Develop and maintain event-driven pipelines (Kafka) and implement data models that ensure transactional integrity for commercial events like Invoices and Payments.
- Data Analytics & Quality: Perform data analysis to validate financial accuracy, build dashboards to visualize system health, and implement automated quality checks within ETL processes.
- Implementation & Operations: collaborate with the team to translate business requirements into scalable code, debugging operational issues to ensure the reliability of financial data flows.
Other
- Bachelor’s degree (or equivalent experience) with 5+ years of industry experience in data engineering or software development.
- Travel requirements not specified
- Must be eligible to work in the US, visa requirements not specified
- NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer.
- Applications for this job will be accepted at least until December 13, 2025.
