• Data Engineer II, Robotics Operations Data…

    Amazon (North Reading, MA)


    Description

    Is your passion inspired by invention? Is problem solving through teamwork in your DNA? Do you like the idea of seeing how your work affects the bigger picture? Answer yes to any of these and you will fit right in here at Amazon Robotics. We are a smart team of doers that work passionately to apply innovative advances in robotics and software to solve real-world challenges that will transform our customers’ experiences in ways we cannot even image yet. 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.

     

    The Amazon Robotics (AR) Operations organization oversees the manufacturing of high-quality robotics and gets the right materials to the right place at the right time to enable our automated solutions. It’s a fast-paced operation that works cross-functionally with teams across Amazon globally, and is driven by data and performance indicators.

     

    Amazon Robotics is seeking a talented and motivated Data Engineer to design, develop and test data pipelines and centralized data store for test equipment and manufacturing operations data. Amazon Robotics software facilitates test workflows, robotic control and data pipelines to create a robust test driven architecture and user interfaces. You acquire expertise as needed, iterate and adapt your approach as you learn more. You are deeply interested in pragmatic problem solving as well as taking risks in pioneering brand new areas. You create extendable design and easy to maintain technical solution with the long term vision in mind. If you can dream it and justify it, we will explore it.

    Responsibilities:

    - Actively support and foster a culture of inclusion

     

    - Internalize our customer challenges and derive creative solutions which apply new and innovative technology

     

    - Design and build business critical, highly available data pipelines in a stable, low cost model

     

    - Design software with quality, robustness and Amazon sized scale as top priorities

     

    - Prototype and test concepts in technology and use case intersection to propose designs in Data Engineering, Business Intelligence and Data Science space

     

    - Work directly with customers to integrate new data types, equipment, and incorporate feedback

     

    - Help continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers

     

    - Apply SW best practices including coding standards, code reviews, source control management, agile development, build processes, and testing

     

    Key job responsibilities

     

    Identify and develop solutions to current business problems

     

    Work with your manager and team to create milestones and deliverables

     

    Use a broad range of data design approaches and know when it is appropriate to use them (and when it is not).

     

    Make enhancements that improve data processes (e.g., data auditing solutions, management of manually maintained tables, automating, ad-hoc or manual operation steps).

     

    Works with engineers to develop efficient data querying and modeling infrastructure.

     

    Create coherent Logical Data Models that drive physical design.

    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)

     

    Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

     

    Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

     

    Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $118,900/year in our lowest geographic market up to $205,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.