Data Engineer II, Network Design Planning & Engineering - Amazon

Description Are you interested in helping build a world-class transportation network for Amazon as we delight our customers with more 1 day promises and also meet our sustainability targets? Do you want to develop data infrastructure to influence the network design of one of the most complex transportation network in the world? The Data Engineer II in the Network Design Planning & Engineering (NDPE) team within the Global Transportation Services (GTS) organization holds the responsibility for building data engineering solutions that facilitate model developments, to propose designs that reduce cost to serve and improve customer speed. Key job responsibilities - Design and implement data pipelines for the different Network design programs. - Develop foundational data infrastructure for the network design models to enable faster and automated runs of underlying models, with automated end to end data flows. - Identify the business needs for design scenario analysis, formulate data architecture strategies, and develop a user-friendly platform for NDPE program managers to perform what-if analysis. - Define the data engineering processes that leverage various AWS services to improve accessibility, redundancy, data integrity, AWS services costs, and storage requirements. - Develop the high quality solutions for the faster development of the products/models that solve the business needs in a scalable format, while also anticipating future requirements - Collaborate with Research/Applied Scientists, Data Engineers, BIEs, Data Scientists and Product/Program Managers to understand the business and technical requirements, and make decisions that help make the products/programs smoother. - Lead the technical design of the data infrastructure with strong coding skills (preferable in python), code deployment and code maintenance. We are open to hiring candidates to work out of one of the following locations: Arlington, VA, USA | Austin, TX, USA | Bellevue, WA, USA | Nashville, TN, USA Basic Qualifications - Bachelor's degree - 2+ years of data engineering experience - Experience as a data engineer or related specialty (e.g., software engineer, business intelligence engineer, data scientist) with a track record of manipulating, processing, and extracting value from large datasets - Experience with data modeling, warehousing and building ETL pipelines - Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions - Experience with SQL - Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS Preferred Qualifications - Master's degree in computer science, engineering, analytics, mathematics, statistics, IT or equivalent - 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 - Experience with big data technologies such as: Hadoop, Hive, Spark, EMR - Experience working on and delivering end to end projects independently - 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! 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. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $105,700/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.