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John Deere Senior Big Data Engineer in Waterloo, Iowa

There are over 7 billion people on this planet. And by 2050, there will be 2 billion more... many moving into urban centers at an unprecedented rate. Making sure there is enough food, fiber and infrastructure for our rapidly growing world is what we’re all about at John Deere. And it’s why we’re investing in our people and our technology like never before! Here the world’s brightest minds are tackling the world’s biggest challenges. If you believe one person can make the world a better place, we’ll put you to work. RIGHT NOW.

Primary Location: United States (US) - Iowa - Waterloo

Function: Data Science & Analytics

Title: Senior Big Data Engineer - 69868

This is a critical Smart Industrial knowledge leadership position that will be at the forefront of working with colleagues across the enterprise to build capabilities in support of the strategic data capture initiative as well as the JDPS data engineering and data analytics strategy to quickly unlock value for our customers by capturing and using the data we know we need, and by creating the ability to capture the data we don’t yet know we need.

Responsibilities:

  • Lead the design and operation of infrastructure supporting data pipelines, computation and visualization.

  • Work with stakeholders defining data requirements and identifying data for integration.

  • Gather requirements and business process knowledge in order to transform the data in a way that's geared towards the needs of end users.

  • Creates documentation to ensure smooth transition of data engineering work to production.

    Visa Sponsorship is Not available for this position

    Required Qualifications:

  • 5+ years of relevant experience

  • Experience developing and operating cloud-based systems

  • Experience with traditional and/or modern ETL tools

  • Experience in data processing in the Apache ecosystem (Spark, Avro, Hadoop, Kafka) with a preference toward systems in the AWS cloud environment. Experience with the Databricks application stack is also helpful

  • Operational experience with SQL and NoSQL (e.g. Cassandra, Mongo) databases

  • Experience developing, maintaining, and deploying data processing applications with Python

Preferred Qualifications:

  • Bachelor's or Master’s degree in Data Science, Data Engineering, Computer Science, Computer Engineering or equivalent experience in a related career field.

  • 4+ years Product engineering experience

  • Experience in data engineering, project execution, process improvement, working effectively with diverse global talent and cross functional teams.

  • Experience using Amazon AWS

    What You'll Get

    At John Deere, you are empowered to create a career that will take you to where you want to go. 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. We offer comprehensive relocation and reward packages to help you get started on your new career path. 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.

    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.

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