As a Data Engineer III, you will play a key role in developing and optimizing data pipelines, ensuring the efficiency, scalability, and reliability of solutions while collaborating with various teams to transform data into valuable insights for clients.

In Short

Translate business requirements into efficient analytical solutions.
Develop and optimize ETLs to transform data and solve business challenges.
Build Data Lakes and Data Warehouses to support scalable analytics.
Create dashboards and data visualizations for strategic insights.
Implement data integrations with APIs and tools like Tableau.

Requirements

Advanced English for written and spoken communication.
Experience with Cloud (Azure or AWS) and data pipeline implementation.
Advanced knowledge in SQL and programming in Python.
Ability to quickly learn and apply new technologies.
Experience with Pandas and PySpark for distributed processing.
Experience with Azure Data Factory, Synapse Analytics, or similar tools.
Knowledge in Data Lake and Data Warehouse.
Ability to develop ETLs and orchestrate data pipelines.
Experience in agile environments (Scrum, Kanban) and collaborative work.

Benefits

Flexible benefits model of your choice.
Health, dental, and life insurance.
Health plan for your pet (national coverage).
Periodic wellness sessions.
Gympass.
Food and/or meal allowance.
Multi-benefit card.
15 days of vacation every 6 months (30 days per year).
Possibility to work from abroad (90 days per year).
Short-term incentive plan (PLR).
Private pension plan.
Choice between 5 work models.
Personalized onboarding kit (including monitor, headset, keyboard & other gifts).
Monthly allowance for remote work (according to your work model).
Flexible working hours.
Parking assistance at offices in SP and POA.
Financial support for studies and childcare.