Role Overview
As an Analytics Data Engineer, you will lead the development and architecture of scalable data engineering solutions and drive best practices across the Descriptive Analytics team.
What You Will Do
You will develop, deploy, maintain, and continuously improve aftermarket analytics data products that power insights and applications used to drive aftermarket growth and enhance customer experience.
Why It Might Be a Fit
This role provides opportunities to contribute to high-impact analytics initiatives, take on technical leadership responsibilities, and collaborate with other highly talented analytics practitioners within a large analytics-focused organization.
Requirements
- Bachelor’s or Associate/Technologist degree in Computer Science, Information Technology, Information Systems, or a related field
- Advanced or Fluent English proficiency
- Experience in analytics, data engineering, or a similar role
- Strong proficiency in SQL, Python, Pyspark, Databricks, and GitHub
- Experience managing complex data pipelines, workflows, and production datasets
- Experience with AI-assisted coding practices and development within VSCode
- Familiarity with Tableau, PowerBI, or similar
- Demonstrated ability to achieve strong business outcomes through technical solutions
- Proven ability to manage multiple complex projects in parallel
- Exceptional communication and interpersonal skills
- Demonstrated ability to make those around you better and contribute to a positive and collaborative team culture
Benefits
- Variable compensation
- Health Insurance
- Dental Plan
- Life Insurance
- Private Pension Plan
- Vision Care Benefit
- Vaccination reimbursement
- Corporate University
- TotalPass
- On-site cafeteria or meal voucher (depending on location)
- Pharmacy assistance
To apply for this job please visit jobs.deere.com.
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