EndereçoOpportunity also for people with disabilities
A multinational japanese company is looking for a Data Engineering Manager to support and implement data-driven projects not only in Brazil but also in other Latin American countries and North America.
Responsibilities and assignments
- Support and implement data-driven projects for the company and its group entities across Brazil, Latin America, and North America. Understand the specific requirements of the company and its group entities and develop Minimum Viable Products (MVPs) accordingly.
- Engage in Data Engineering using Python, leveraging tools like pandas and Snowpark for Python. This involves executing Data Engineering tasks to facilitate two main objectives: 1) training machine learning (ML) models through AutoML tools, and 2) creating applications using Streamlit within the Snowflake framework to address business needs.
- Conduct ML modeling using AutoML tools such as Data Robot. While coding skills for ML model training are appreciated, the primary focus is on controlling AutoML tools from Python and having a solid understanding of ML development concepts.
- Undertake simple app development in Python, utilizing tools like Streamlit in the Snowflake framework. This involves creating straightforward web applications to enable the generated ML models to deliver value as soon as their potential is confirmed.
- Manage ML model maintenance using ML Ops packages, with examples including Data Robot and Snowflake. This entails executing tasks related to the ongoing maintenance of ML models.
- Illustrate proficiency through examples of past projects, such as predicting demand or market trends in the food sector, building data analytics or applications in the healthcare domain, and optimizing operations in the infrastructure sector.
Requirements and qualifications
- 4-year degree (Preferably in Computer Science or an equivalent discipline/experience).
- Fluency in English.
- Spanish proficiency is desirable.
- Proven working experience (at least 3-5 years) in Data Engineering or in data science.
- Data Engineering experience in Python.
- ML Modeling/Maintenance experience (using AutoML or manual coding).
- Value-driven mindset and open-mindedness.
Additional information
- Hybrid position (3x/week).
