4 дня назад
Python Developer
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Python Developer (Data Analytics): Building production-grade Python solutions, reusable components, analytical model libraries, and interactive dashboards for trading analysts with an accent on numerical algorithms, data analysis, and resilient enterprise applications. Focus on designing efficient object-oriented code, integrating relational databases and REST APIs, and developing visualization solutions with Dataiku, Power BI, and Plotly Dash.
Location: Houston, TX (Hybrid)
Duration: 6-month contract
Company
provides staffing and technology services for enterprise organizations.
What you will do
- Build technical solutions for analysts and commercial stakeholders by translating business requirements into reliable software.
- Develop production-grade Python applications, scalable reusable components, and frameworks aligned with enterprise architecture.
- Create interactive dashboard visualizations and data analytics solutions using Dataiku, Power BI, Plotly, and Dash.
- Contribute to proprietary model libraries and provide day-to-day technical support and best-practice guidance to analysts.
- Partner with architecture, infrastructure, central IT, analysts, and strategists on strategic technology deliveries.
- Apply software development best practices across testing, version control, build processes, and deployment pipelines.
Requirements
- Bachelor’s degree in computer science or a related technical field such as software engineering, electrical engineering, mathematics, or physics.
- Fluent English and effective verbal and written communication skills.
- Strong current Python experience for data analysis, including pandas, NumPy, and Jupyter, with recent active coding experience.
- Production-quality coding skills, including clean, reliable, efficient code, algorithm design, and numerical or analytical programming.
- Expertise in object-oriented programming, reusable class design, design patterns, SQL, and relational databases.
- Knowledge of web services and REST APIs, cloud computing concepts, data visualization, Git, unit testing, and deployment pipelines.
Culture & Benefits
- Work as part of a global technology team supporting analysts across trading regions.
- Collaborate closely with teams working across oil, gas, and power markets.
- Participate in a multifaceted commercial environment focused on data, numerical algorithms, and technology.
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