Specialist Data Engineer - Indaiatuba/SP

At John Deere's Infrastructure & Operations organization, we are revolutionizing infrastructure through innovative solutions that transform the way our customers experience our products. A key theme in our strategy is to rethink the Digital Workspace Experience with the use of Data, Artificial Intelligence and Cloud Technologies to create Hyper Personalized Intuitive Experiences that are Self-Healing, Proactive and Dynamic. Needless to mention, we aim at producing these innovative experiences without compromising quality & security. In fact, we take pride in driving quality & security by design. 

If you are looking for experience to solve Highly Complex problems of Enterprise Scale by working across the full technology stack, then this position is perfect for you. The role would not only help you develop the new skills but also give significant opportunity to develop abilities to Think Strategically, Lead Change, Influence without Authority & Communicate at various level of organization. 

Please review the detailed responsibilities and skills listed below if you want to partner with us in our journey as we transform our digital workspace experience! 

Key Responsibilities

• Design, develop, test and integrate data solution of medium complexity;
• Participates in evaluation and implementation of design solutions to improve cost, quality and performance of data applications;
• Provides technical direction to team members in order to solve complex design/production problems;
• Coaches and Mentors Junior Team members on technical front; 
• Serve as an advocate for data best practices and data management discipline, policies, and standards; 
• Demonstrates strong collaboration skills across teams and business stakeholders across products; 
• Follows Agile software design methodology for software configuration and development; 
• Maintains system documentation and keeps it relevant as needed.

Skills You Need

• Bachelor’s degree in an Computer/Software Engineering, Computer Science, or Information Technology discipline OR Bachelor’s degree with equivalent experience;
• Advanced English (reads and writes e-mails independently, participates in calls, meetings and presentations of results); 
• Experience in Design and implement data pipelines, ETL processes, and data storage solutions that support data-intensive applications; 
• Experience in developing, testing, and maintaining architectures such as databases and large-scale data processing systems using tools such as Spark, Databricks and AWS;  
• Experience Java/Python, Datastructure and Algorithms; 
• Experience in cloud development with the AWS platform;  
• Experience in designing and delivering Transactional, Warehouse, Analytical and Reporting Data Platforms leveraging modern cloud data technologies; 
• Implementation experience of engineering practices like TDD, DevSecOps, Software automation, CI/CD. Strong understanding of Agile and XP practices; 
• Excellent problem-solving and critical-thinking abilities; 
•  Strong communication skills to convey technical concepts to non-technical stakeholders; 
•  Ability to work independently and as part of a team in a fast-paced environment. 

What Makes You Stand Out

• Experience in implementing machine learning models  
• Demonstrated learning agility and strong desire to innovate. 
• Ability to explore emerging frameworks, technology and tools and plan technical implementation