Analytics Data Engineer II - Campinas/SP
Core
Lead the development and architecture of scalable data engineering solutions and drive best practices for aftermarket analytics data products that power insights and applications to drive aftermarket growth and enhance customer experience.
Role type
Senior IC analytics data engineer
Builds
scalable, fault-tolerant data pipelines and validated data products
Domain
Agriculture (aftermarket) + data engineering
Deliverable
production ML models
Required skills
SQL, Python, PySpark, Databricks, GitHub, data pipeline management, AI-assisted coding, Tableau/PowerBI
Preferred skills
technical leadership, mentoring, Agile/Scrum methodologies
Technologies
Databricks, PySpark, GitHub, Tableau, PowerBI, VSCode
Responsibilities
Partner with analytics practitioners and business stakeholders to align technical solutions with business needs; Own the full lifecycle of data products from deployment to maintenance; Design and implement scalable, fault-tolerant data pipelines; Develop clean, modular code adhering to best practices; Ensure high-quality outputs through rigorous validation, testing, and code reviews; Optimize performance and scalability across production solutions; Proactively identify opportunities for innovation and efficiency gains; Mentor peers and promote adoption of standards and best practices.
Seniority
Senior, hands-on IC with technical leadership responsibilities