Are you eager to apply your data engineering skills in reshaping one of the world's largest data-driven logistics systems? Amazon's Modeling and Optimization team (MOP) is recruiting motivated individuals with strong data engineering skills to evolve the data infrastructure underlying one of the most sophisticated optimization decision-engines in the world.
Amazon’s extensive logistics system comprises thousands of fixed infrastructure nodes with millions of possible connections between them. Billions of packages flow through this network on a yearly basis, making the impact of decision improvements truly unparalleled. This magnificent challenge is a terrific opportunity for developing modern data infrastructures to support reshaping one of the world's most complex, automated, data-driven logistics systems.
In this role, you will drive the development of data engineering solutions from initial experimentation to production level deployment, including the following
- Identify gaps and improvement opportunities in existing data infrastructure;
- Design, implement, and maintain a modern cloud-based data-infrastructure for large data-sets;
- Migrate existing data pipelines to your newly developed solutions;
- Create and manage large datasets by extracting, transforming, combining, and loading data from various heterogeneous data sources;
- Maintain data integrity, availability, and auditability; - Manage AWS resources;
- Drive the adoption of new technologies and new best practices.
The successful candidate will combine strong technical abilities and leadership skills to deliver business value in a fast-paced, collaborative development environment. You will be self-driven, communicate and collaborate effectively with different technical and non-technical stakeholders, mentor junior colleagues, propagate best practices, drive innovation, and deliver successfully against high operational standards.
About the team
Our team is a mix of SDEs and Data Engineers and we build all our products from scratch on native AWS to solve business problems. Few of the systems that we invent and simplify include backend software and web apps to handle the impact of weather, simulation system to rethink Amazon order fulfillment and a brand new data infrastructure to generate map-based reports for key business metrics.- 1+ years of data engineering experience
- 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Bachelor's degree in a quantitative/technical field such as computer science, engineering, statistics
- Knowledge of distributed systems as it pertains to data storage and computing
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)
- Experience with one or more scripting language (e.g., Python, KornShell)- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
- Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc.
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 $91,200/year in our lowest geographic market up to $185,000/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.
