Data Engineer - Indaiatuba/sp

Deere & Company

Indaiatuba, São Paulo, Brazil
Variable compensation; health insurance; dental pl...
On-site
Extensive hands-on experience with etl processes
Strong experience in rest apis using java and spring boot
Solid practical experience with test-driven development tdd
Deere & Company is seeking a Data Engineer for its John Deere Financial group in Indaiatuba, Brazil. The role involves developing data products for advanced analytics and requires strong technical expertise in data engineering, API development, and working with large-scale datasets

Job Summary

  • The role involves creating data products for advanced analytics to enable efficient customer service such as automatic loan approvals.
  • Candidates will partner with product managers to design, scale, and deliver full stack data solutions while minimizing technical debt.
  • The company offers comprehensive benefits including variable compensation, health insurance, dental plans, and a private pension plan.

Matching Summary

Match Score: 85

Deere & Company is seeking a Data Engineer for its John Deere Financial group in Indaiatuba, Brazil. The role involves developing data products for advanced analytics and requires strong technical expertise in data engineering, API development, and working with large-scale datasets.

Salary

Variable compensation; Health Insurance; Dental Plan; Life Insurance; Private Pension Plan

Skills & Requirements

Must-have

  • Extensive hands-on experience with ETL processes
  • Strong experience in REST APIs using Java and Spring Boot
  • Solid practical experience with Test-Driven Development TDD
  • Proven experience applying DevOps and CI/CD principles
  • Strong working knowledge of AWS services including Lambda and S3

Nice-to-have

  • Working knowledge of Generative AI concepts and Agentic patterns
  • AWS certification or cloud technology experience
  • Passionate about learning new complex technical areas
  • Skilled in interpersonal communications for non-technical audiences
  • Experience working in distributed agile teams across time zones

Key Requirements

  • Bachelor's degree in IT, Computer Science, Engineering, or Data Science
  • Equivalent experience in a related career field

Work Rights

Not specified

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