Expand our data assets in support of our analytical capabilities.
Requirements
- 7+ years of enterprise-level coding experience with Python
- Experience with Data Engineering and building data pipelines
- Experience scraping websites with Requests, Beautiful Soup, Selenium, etc.
- Oracle / PL SQL development experience including stored procedures
- Strong understating of object-oriented design, design patterns, SOA architectures
- Proficient understanding of peer-reviewing, code versioning, and bug/issue tracking tools.
- Familiarity with Pandas and NumPy packages
Responsibilities
- Write modular, reusable components to liaise between external sources of data, internal tools and databases
- Work with our business sponsors to drive out requirements for data ingestion and access
- Translate business requirements into technical deliveries
- Maintain the cleanliness and centrality of the Vitol Python codebase, while adhering to existing designs and coding conventions as much as possible
- Contribute to our developer tools and Python ETL toolkit, including standardization and consolidation of core functionality
- Efficiently coordinate with the rest of our global team
- Participate in Vitol’s Python development community and act as a liaison for our growing business development efforts
Other
- Computer Science, MIS or related degree
- Past experience working in an Agile/Scrum environment
- Strong communication skills (written and verbal)
- Commodities/Energy Industry experience desired
- Familiarity with containerization solutions like Docker and Kubernetes is a plus
- This Role is located in Houston, TX - In office 5x a week
