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John Deere

Builds farm, construction, and forestry machines

Analytics Data Engineer 2 - Data and Analytics (CA)

Data EngineeringPosted on Nov 10
Full-timeCampinas - State of São Paulo, Brazil

About the Job

Requirements

  • A Bachelor's or Associate/Technologist degree in Computer Science, Information Technology, Information Systems, or a related field is required.
  • Advanced or fluent English proficiency is required, including effective communication in technical discussions, documentation, and day-to-day collaboration.
  • Experience in analytics, data engineering, or a similar role is required.
  • Strong proficiency in SQL, Python, PySpark, Databricks, and GitHub is required.
  • Experience managing complex data pipelines, workflows, and production datasets is required.
  • Experience with AI-assisted coding practices and development within VSCode is required.
  • Familiarity with Tableau, Power BI, or similar tools is required.
  • The candidate must demonstrate the ability to achieve strong business outcomes through technical solutions.
  • The candidate must demonstrate the ability to manage multiple complex projects in parallel.

Responsibilities

  • Partner with analytics practitioners, data catalysts, and business stakeholders to align technical solutions with business needs.
  • Own the full lifecycle of data products, from deployment and support through maintenance and continuous improvement.
  • Design and implement scalable, fault-tolerant data pipelines and validated data products that support customer-facing applications and downstream analytics.
  • Develop clean, comprehensible, and modular code that adheres to best practices and incorporates peer-review feedback.
  • Ensure high-quality outputs through rigorous validation, testing, code reviews, and design reviews.
  • Communicate methodologies, results, and impact through verbal communication and written documentation tailored to technical and business audiences.
  • Optimize performance and scalability across production solutions, and monitor production workflows for reliability and efficiency.
  • Identify opportunities for innovation and efficiency gains, and participate in strategic roadmap planning related to analytics data products.
  • Mentor peers, share technical knowledge, reduce technical debt, and promote adoption of standards and best practices.
  • Review and provide feedback on other analytics practitioners’ deliverables to ensure high-quality, validated outputs.
  • Promote systems thinking and data-driven decision-making grounded in a deep understanding of end-user insight needs.

Desired Qualifications

  • Experience leading technical teams or mentoring others.
  • Experience with Agile/Scrum methodologies and iterative development.
  • Strengths in statistics and exploratory data analysis, including hypothesis testing, probability modeling, regression, and classification.
  • Familiarity with aftermarket data and aftermarket foundational data products.
  • Knowledge of dealers, products, customers, markets, and the heavy equipment industry.
  • Understanding of dealer-channel aftermarket processes, digital solutions, and metrics.
  • An advanced degree in a related discipline.

About the Company

John Deere

Builds farm, construction, and forestry machines

John Deere builds tractors, combines, and other farm machines, along with equipment for construction, forestry, road building, and lawn care. Many of its machines use GPS guidance and cameras to steer themselves and spray only the weeds they detect, and farmers track each field and machine through its Operations Center app. Deere sells machines, replacement parts, and repair service through a worldwide network of independent dealers, which handle sales, servicing, and trade-ins in their local areas. Deere & Company was founded in 1837 by blacksmith John Deere, whose steel plow cut through sticky prairie soil, and is based in Moline, Illinois.

Company size
10,001+
Company stage
IPO
Headquarters
Moline, IL
Founded
1837

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