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John Deere Data Engineer in Chicago, Illinois

At John Deere, we run so life can leap forward. This powerful purpose is our promise to humankind that we will dream, design and deliver breakthrough products that sustain our world for generations to come. The world is counting on us to feed billions of people and build vital infrastructures in villages, towns, and megacities. We live up to the legacy our founder forged in a one-room blacksmith's shop nearly two centuries ago by creating a culture that brings out the best in all of us. A culture where great ideas thrive because every voice is heard.

John Deere is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to, among other things, race, religion, color, national origin, sex, age, sexual orientation, gender identity or expression, status as a protected veteran, or status as a qualified individual with disability .

Primary Location: United States (US)- Illinois- Chicago

Function: Technology (CA)

Title: Data Engineer- 82801

Onsite/Remote:Onsite Position

Your Responsibilities

As aData Engineerfor John Deere Financial (JDF) (https://bit.ly/JohnDeere_Financial) based at our new Chicago office (https://bit.ly/JohnDeere_Opens_ChicagoOffice) , you will join a team to create a data platform for advanced analytics and model building in order to enable efficient customer services in various areas such as automatic loan approvals. Our team partners with product managers and data practitioners to design, scale, and deliver full-stack data solutions. In this role you will:

  • Develop data model and data pipeline, build rest APIs to provide data to downstream systems

  • Perform debugging and fixing application issues, root cause analysis, and help in proactive/preventive maintenance

  • Follow test-driven development approach

  • Help in technical debt reduction and follow clean code principles

  • Follow Security by design principles to define a security framework around data pipelines and APIs

  • Work as an Agile team member and participate in backlog refinement, sprint planning, sprint review, spirit retrospective

Visa sponsorship is NOT available for this position.

What Skills You Need

  • 1 or more years of experience with ETL, Data Modeling, Data Warehousing, and working with large-scale datasets

  • 1 or more years of API Development experience (specifically Rest APIs using Java, Spring boot)

  • 1 or more years of Test-driven development

  • 1 or more years of experience leveraging DevOps and lean development principles such as Continuous Integration, Continuous Delivery/Deployment using tools like Git, Jenkins, etc.

  • Working knowledge of Data Engineering and the respective tools and technologies (e.g., Apache Spark, Databricks, Python, SQL DB, NoSQL DB, Data Lake concepts)

  • Working Knowledge of AWS services such as Lambda, RDS, ECS, API Gateway, S3 etc.

What Makes You Stand Out

  • General understanding of AWS or similar cloud services

  • Passionate, creative and have the desire to learn new complex technical areas

  • Accountable, curious, and collaborative with an intense focus on product quality

  • Skilled in interpersonal communications and ability to communicate complex topics to non-technical audiences

  • Experience working in an agile team environment

  • Demonstrated ability to function in a fast paced, collaborative team environment that is distributed across time zones and locations.

Education

Ideally you will have a degree or equivalent related work experience in the following:

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

    What You'll Get

    At John Deere, you are empowered to create a career that will take you to where you want to go while working in an inclusive team environment. Here, you'll enjoy the freedom to explore new projects, the support to think outside the box and the advanced tools and technology that foster innovation and achievement. Additionally, we offer a comprehensive reward package to help you get started on your new career path, including:

  • Flexible work arrangements

  • Highly competitive base pay and performance bonuses

  • Savings & Retirement benefits (401k and Defined Benefit Pension)

  • Healthcare benefits with a generous company contribution in the Health Savings Account

  • Adoption assistance

  • Employee Assistance Programs

  • Tuition assistance

  • Fitness subsidies and on-site gyms at specific Deere locations

  • Charitable contribution match

  • Employee Purchase Plan & numerous discount programs for personal use

    Click here (http://www.deere.com/en/our-company/john-deere-careers/why-john-deere/) to find out more about our Total Rewards Package.

    The information contained herein is not intended to be an exhaustive list of all responsibilities and qualifications required of individuals performing the job. The qualifications detailed in this job description are not considered the minimum requirements necessary to perform the job, but rather as guidelines .

    The terms of the applicable benefit plans, and all company actions administering or interpreting these plans, continue to control. Deere & Company reserves the right to suspend, amend, modify, or terminate the Plan(s) in any manner at any time, including the right to modify or eliminate any cost-sharing between the company and participants. Changes, which can be made at any time, are made by action of the companys board of directors, or to the extent authorized by resolution of its board of directors, or by the Deere & Company Compensation Committee. In the event of a conflict between the language of the official Plan Documents and this document, the language of the official Plan Documents will control.

    ACA Section 1557 Nondiscrimination Notice

    The John Deere Health Benefit Plans for Salaried and Wage Employees comply with applicable Federal civil rights laws and do not discriminate on the basis of race, color, national origin, age, disability, or sex.

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