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Amazon Data Engineer, AR - Manipulation in Westborough, Massachusetts

Description

Amazon Robotics develops state-of-the art robotics for Amazon’s Fulfillment Centers, which handle more individual items than any company in the world. Our Org in the Amazon Robotics is responsible for Manipulation programs which is at the forefront of building automation products for manipulating packages and individual items in our fulfillment centers. We are looking for an experienced, self-driven Data Engineer. In this role, you will be building complex data engineering and business intelligence applications using AWS tech stack and other suitable Data Engineering technologies. You should have excellent business acumen and communication skills to be able to work with business owners to develop and define key business questions and requirements. You will provide guidance and support for other engineers with best practices and direction.

Key job responsibilities

  • Design, implement, and deploy data solutions that are high quality (e.g., secure, testable, maintainable, low-defects, efficient, well documented etc.) and incorporate best practices.

  • Focus on operational excellence, constructively identifying problems and proposing solutions, taking on projects that improve data architecture, making it better and easier to maintain.

  • Design, implement, and support data warehouse / data lake infrastructure using AWS big data stack, Python, Redshift, Quicksight, Glue/lake formation, EMR/Spark/Scala, Athena etc.

  • Mentor other engineers, influence positively team culture, and help grow the team.

A day in the life

As a data engineer in the Robotics Manipulation Org, your day is filled with the challenge of optimizing data flows across multiple systems. You start by reviewing KPIs, uncovering insights to drive performance improvements. Working closely with software and ML teams, you streamline data pipelines and feature engineering, ensuring high-quality, real-time information fuels the models powering the robots. Whether automating workflows or conducting in-depth analytics, your expertise directly contributes to the advancement of these cutting-edge programs. In this fast-paced, dynamic environment, you collaborate on innovative solutions, leverage the latest technologies, and make a tangible impact through your data-driven approach.

Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include:

  1. Medical, Dental, and Vision Coverage

  2. Maternity and Parental Leave Options

  3. Paid Time Off (PTO)

  4. 401(k) Plan

If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!

Basic Qualifications

  • 3+ years of data engineering experience

  • 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience

  • Knowledge of distributed systems as it pertains to data storage and computing

  • Experience with data modeling, warehousing and building ETL pipelines

  • Experience working on and delivering end to end projects independently

  • Experience programming with at least one modern language such as C++, C#, Java, Python, Golang, PowerShell, Ruby

  • Experience with Redshift, Oracle, NoSQL etc.

Preferred Qualifications

  • Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions

  • Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)

  • Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets

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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