Développeur.euse python

Résumé du poste

The developer will design, develop, and optimize backend services in Python, focusing on automating financial forecasting processes. They will also collaborate with engineering, data, and infrastructure teams to ensure smooth integration of solutions.

Détails du poste

The developer will design, develop, and optimize backend services in Python, focusing on automating financial forecasting processes. They will also collaborate with engineering, data, and infrastructure teams to ensure smooth integration of solutions. Candidates must have a bachelor's degree in computer science or a related field and at least 5 years of experience in Python development, particularly in complex environments. Experience in the banking sector and knowledge of data technologies such as SQL and NoSQL are also required.

Ce que vous ferez

The developer will design, develop, and optimize backend services in Python, focusing on automating financial forecasting processes. They will also collaborate with engineering, data, and infrastructure teams to ensure smooth integration of solutions.

Exigences

Candidates must have a bachelor's degree in computer science or a related field and at least 5 years of experience in Python development, particularly in complex environments. Experience in the banking sector and knowledge of data technologies such as SQL and NoSQL are also required.

Avantages

• Vacation
• Flexible Hours
• Professional Development Allowance
• Training
• Retirement Savings Plan
• Health Insurance
• Transportation Reimbursement
• Referral Bonuses
• Holidays
• Personal Days
• Social Activities

Compétences indiquées

• SQL · Souhaitée
• CI/CD · Souhaitée
• Tests automatisés · Souhaitée
• Linux · Souhaitée
• Git · Souhaitée
• Python · Souhaitée

Autres compétences pertinentes

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• Python
• Backend Development
• Financial Forecasting
• DataIQ
• Databricks
• Snowflake
• SQL
• NoSQL
• Linux
• DevOps
• Git
• CI/CD
• Containerization
• Data Pipelines
• Architecture Design
• Automated Testing

Domaines d’emploi

• Technology
• Software
• Data & Analytics
• Engineering
• Finance & Accounting

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