Mid-Level Software Engineer (Data Solutions) - Indaiatuba/SP

As a Software Engineer for our IT Human Resources & Labor Relations team at John Deere, you will have the opportunity to work cross global applications over IT HR & LR products to sustain and enhance a diverse set of applications, own processes and servers, serve business and the team, implement global solutions and support local business needs.

Main Responsibilities

• Develop, enhance, and maintain data pipelines and applications within the Enterprise Data Lake (EDL) and Databricks ecosystem;
• Design and support analytical and operational integrations for labor relations and workforce management systems (wages, shifts, and time tracking);
• Build and maintain APIs, ingestion routines, and connections to enterprise relational databases;
• Actively collaborate within a global agile team, engaging daily with international teams and stakeholders in English;
• Promote and share best practices in data engineering and software development across the team;
• Ensure delivery quality through automated testing, monitoring, and CI/CD pipelines.

Skills You Need

• Graduation on Technology areas, such as Computer Science, System Analysis, or similar;
• Advanced English skills (read, write and speak);
• Strong experience as a Software Engineer;
• Strong experience with EDL / Databricks;
• Experience with at least one of the following programming languages: Java, Python, JavaScript, Node/React or similar;
• Previous experience working with Cloud (AWS preferred);
• Strong experience working with Databases (SQL syntax, SQL Server, Oracle DB, MySQL, and/or PostgreSQL);
• Strong communication skills, with the ability to excel on a cross-functional team;
• Experience working on Agile Teams;
• Availability to work in a hybrid model (at least 3 days a week on-site in Indaiatuba, SP).

What Makes You Stand Out

• Solid Experience working with Data Lake, DevOps, and/or CICD pipelines;
• Experience integrating systems, designing and coding APIs;
• Experience with Javascript modern libraries (React, Angular, BootStrap,..);
• Experience with automation & data analytics;
• Experience with automated tests, complex pipelines and best programming practices.