Python Data Engineer

Houston, TX, US • Posted 2 days ago • Updated 2 days ago
Full Time
No Travel Required
On-site
$70,000 - $90,000/yr
Company Branding Image
Fitment

Dice Job Match Score™

🔗 Matching skills to job...

Job Details

Skills

  • Agile
  • Data Engineering
  • NumPy
  • PL/SQL
  • Selenium
  • SOA
  • Scrum
  • Analytical Skill
  • Kubernetes
  • python
  • data pipelines
  • ETL

Summary

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

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 91174524
  • Position Id: 9019824
  • Posted 2 days ago

Company Info

About TalentOS AI LLC

Our services at Talent on Staffing are designed to support organizations of all sizes in finding professionals with the right skills, experience, and cultural fit. We partner with businesses to understand their workforce needs and deliver tailored talent solutions that drive growth.

We offer comprehensive recruitment services, IT and Non-IT staffing, permanent hiring, contract staffing, and workforce advisory support. Our HR solutions are focused on helping organizations meet critical talent demands efficiently and compliantly.

As a trusted staffing partner, we aim to be a catalyst for both clients and candidates, enabling success in today's dynamic and evolving world of work.

About_Company_One
Contact the job poster
NV

NagaSri Vartanapalli

Recruiter @ TalentOS AI LLC
Create job alert
Set job alertNever miss an opportunity! Create an alert based on the job you applied for.

Similar Jobs

It looks like there aren't any Similar Jobs for this job yet.

Search all similar jobs