5 дней назад
Power Backend Engineer (Python)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Power Backend Engineer (Python): Developing a new product for the Japanese power market with an accent on data scraping and database architecture. Focus on building high-performance APIs, optimizing data access to primary market sources, and implementing monitoring tools.
Location: Hybrid in Tokyo, Japan
Company
provides data-driven intelligence and analytics for the global commodities, energy, and maritime sectors.
What you will do
- Develop, expand, and maintain data scrapers for the Japanese power market.
- Build and improve the product by developing new features and enhancing data enrichment.
- Design database architectures to ensure timely access to pricing, availability, and generation data.
- Optimize API performance for efficient data distribution to end users.
- Implement monitoring, alerting tools, and dashboards to ensure system reliability.
- Collaborate with the product team to define and execute a sustainable roadmap.
Requirements
- 3-5 years of experience as a data-focused Software Engineer.
- Significant proficiency in Python and experience with PostgreSQL or similar data stores.
- Expertise in building and consuming RESTful APIs.
- Strong experience with time-series data, normalization, and database design.
- Comfortable with Git, code reviews, and Agile methodologies.
- Strong command of written and spoken English.
Nice to have
- Experience with AWS and Terraform.
- Proficiency with Airflow, Docker, and Kubernetes in production environments.
- Knowledge of hexagonal and medallion architectures.
- Experience with NoSQL databases, sqlmesh, or dbt.
- Japanese language proficiency.
Culture & Benefits
- International environment with a team of 700+ experts from over 35 countries.
- Commitment to a fair, inclusive, and diverse workplace.
- Supportive company culture focused on nurturing connections and professional growth.
- Opportunity to work on cutting-edge innovation within the commodity markets.
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