Principal Data Engineer – Indaiatuba

Korn Ferry, on behalf of John Deere, a U.S. multinational company and leader in the agricultural and construction machinery industry, is seeking a highly skilled Principal Data Engineer for a position based in Indaiatuba, SP.

John Deere is a global technology company that provides software and equipment for agriculture, construction, and forestry. The company has been present in Brazil and Latin America for over 30 years, with key manufacturing sites in São Paulo, Goiás, and Rio Grande do Sul.

For 2025, John Deere is focused on advancing autonomous solutions, AI, and connectivity. To support its expansion, John Deere is building a new team in Brazil to manage the entire database infrastructure, focusing on SQL and Oracle Database. This team will drive innovation through Self-Service, enabling greater access and usability; Optimization, improving performance and efficiency; and Autonomous Operations, leveraging automation to enhance scalability and reliability.

The Data Engineer position at John Deere is to drive the transformation of the company’s distributed database platforms, fostering innovation through Data, Machine Learning, Artificial Intelligence, and Cloud Technologies. Delivering data platforms provide: An intuitive user experience, Invisible governance, Proactive self-healing and Automated resource optimization.

Additionally, this role offers opportunities to develop new skills across the full technology stack, enhance strategic thinking, and gain experience in influencing without authority while effectively communicating at various levels of the organization.

This role provides an opportunity to work with cutting-edge technologies such as data, machine learning, artificial intelligence, and cloud technologies to develop data platforms that feature intuitive user experience, invisible governance, proactive self-healing, and automated resource optimization.

The role also involves solving complex enterprise-scale problems by collaborating across full technology stacks to enhance data infrastructure, working cross-functionally across global teams to adopt new technologies and methodologies. Additionally, the Software Engineer will have the chance to develop new skills across the full technology stack, enhance strategic thinking, and gain experience in influencing change within a dynamic environment.

Key Responsibilities

• Develop & Optimize Databases – Design and maintain SQL Server, Oracle, and PostgreSQL databases, ensuring performance and scalability.
• Build & Automate Data Pipelines – Implement self-healing and automated resource optimization solutions for Data Lakes.
• AI & Cloud Integration – Enable AI-driven automation, machine learning models, and cloud-based data solutions.
• Cross-Functional Collaboration- Work with Manufacturing, IT, and Citizen Developers to deliver tailored data solutions.
• DevOps & Monitoring – Implement CI/CD pipelines, observability tools, and security best practices for fault-tolerant systems.

Main Challenges and Assignments

• Prepare data infrastructure for AI and automation, ensuring long-term efficiency and innovation.
• Contribute to the development of machine learning models for database optimization and automation.
• Build automation processes for SQL Server and Oracle management, ensuring scalability and performance optimization.
• Work with Citizen Developers, Manufacturing Teams, and Global IT Products to design and optimize SQL Server and Oracle solutions.
• Identify and integrate new data sources, enabling future AI-driven automation.
• Incorporate regional data from Brazil, Mexico, and Argentina into the existing JDF Data Lake, originally developed in the US.
• Analyze database transactions and transform the environment into a Data Lake/Database structure to monitor changes and improve efficiency.
• Leverage SCOM and Hyper Conversion LUTENICS for predictive insights into server availability and processing needs.

Experience & Qualifications

• Proficiency in Python or R, and familiarity with libraries such as scikit-learn, TensorFlow, Keras, or PyTorch
• Experience with data manipulation libraries (e.g., Pandas, NumPy) and databases (e.g., SQL).
• Knowledge of various ML algorithms and techniques including supervised and unsupervised learning, deep learning, and reinforcement learning
• Experience with implementation of machine learning models and algorithms tailored to specific business problems
• Proficiency in Data, AI, and Cloud Technologies
• Familiarity with DBMS technology, including SQLServer, Oracle, and PostgreSQL
• Proven experience leveraging DevSecOps and lean development principles such as Continuous Integration and Continuous Delivery
• Experience designing highly scalable and fault tolerant systems with strong observability tooling
• Experience with Machine Learning, AI Technologies, or GenAI using large language models
• Strategic thinking and change management skills
• Proven problem-solving abilities for enterprise-scale challenges.
• Bachelor’s degree in IT, Computer Science or Engineering or related fields
• Advanced degrees or certifications in machine learning or data science are a plus
• Advanced/Fluent English to report and collaborate in an international environment.

Location: Indaiatuba, SP

Hybrid role – 3x a week at the office.

SE# 510723452