Python Data Engineer
Why This Role Stands Out
This hybrid Python Data Engineer role at TalentOS AI LLC offers exciting growth opportunities as you'll directly collaborate with diverse teams to build and enhance data assets. You'll thrive here if you're a seasoned Python developer with a passion for data engineering and translating business needs into robust technical solutions. Apply now to contribute to innovative data initiatives within a dynamic environment.
Quick Overview
Job Description
Python Data Engineer
Introduction
We are looking for a talented and motivated Python Data Engineer to help us expand our data assets in support of our analytical capabilities in a full-time role. This role will have the opportunity to interface directly with our traders, analysts, researchers, and data scientists to drive out requirements and deliver a wide range of data-related needs.
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
Requirements
- 9+ years of enterprise-level coding experience with Python
- Computer Science, MIS, or related degree
- 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 understanding of object-oriented design, design patterns, SOA architectures
- Past experience working in an Agile/Scrum environment
- Proficient understanding of peer-reviewing, code versioning, and bug/issue tracking tools
- Familiarity with Pandas and NumPy packages
- Strong communication skills (written and verbal)
- Commodities/Energy Industry experience desired
- Familiarity with containerization solutions like Docker and Kubernetes is a plus
Required Skills
Python, Data Engineering, Data Pipelines, Web Scraping, Oracle, PL SQL, Object-Oriented Design, Agile/Scrum, Peer-Reviewing, Code Versioning, Pandas, NumPy, Communication Skills, Commodities/Energy Industry, Docker, Kubernetes
Preferred Skills
Experience with containerization solutions like Docker and Kubernetes is a plus
Skills
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