Job description

• 2+ years of experience analyzing and interpreting data and experience with Redshift, Oracle, NoSQL etc.
• Experience with data modeling, data warehousing, and building ETL pipelines
• Bachelor's degree in a quantitative/technical discipline such as Computer Science, Engineering, Statistics
• 1+ years of experience as a Data Engineer or in a similar role
• Knowledge of distributed systems as it pertains to data storage and computing

Job summary Are you inspired by invention? Is problem solving through teamwork in your DNA? Do you like the idea of seeing how your work impacts the bigger picture? Answer yes to any of these and you’ll fit right in here at Amazon Robotics. We are a smart team of doers who work passionately to apply cutting edge advances in robotics and software to solve real-world challenges that will transform our customers’ experiences. We invent new improvements every day. We are Amazon Robotics and we will give you the tools and support you need to invent with us in ways that are rewarding, fulfilling, and fun. Amazon.com empowers a smarter, faster, more consistent customer experience through automation. Amazon Robotics automates fulfillment center operations using various methods of robotic technology including autonomous mobile robots, sophisticated control software, language perception, power management, computer vision, depth sensing, machine learning, object recognition, and semantic understanding of commands. Amazon Robotics has a dedicated focus on research and development to continuously explore new opportunities to extend its product lines into new areas. This role is a 6-month Co-Op to join AR full-time (40 hours/week) from January 9, 2023 to June 23, 2023. This Spring Amazon Robotics Co-op opportunity is hybrid (working 2 - 3 day in office) and will be based out of the Greater Boston Area in North Reading, MA. The campus provides a unique opportunity to have direct access to robotics testing labs and manufacturing facilities. Key job responsibilities As a Data Engineer Co-Op, you will be responsible for developing data architecture components that scale for growing data needs. You will solve big data warehousing problems on a massive scale. You will apply cloud-based AWS services to solve challenging problems around: big data processing, data warehouse design, and enabling self-service. You will focus on automation and optimization for all areas of DW/ETL maintenance and deployment. You will work closely with the business intelligence engineers, data scientists and the software development teams on many non-standard and unique business problems and use creative problem solving to deliver actionable output. The role of a Data Engineer in Amazon requires excellent technical skills in order to develop systems and tools to process data as well as, but not limited to, the ability to analyze data. A qualified candidate must have a demonstrated ability to manage large-scale data modeling projects, identify requirements and tools, and build data warehousing solutions that are scalable. Strong written and verbal communication skills with the ability to learn new concepts/frameworks.
• Enrolled in a Masters Program (or Bachelor's) in a quantitative/technical discipline such as Computer Science, Engineering, Statistics • Completion of at least junior year of degree program is required with a graduation date of December 2023 or later • Must be eligible and available for a full-time (40h / week) 6-month co-op between January 9, to June 23, 2023 • Experience in working and delivering end-to-end projects independently Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

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