GCF ACES (Global Customer Fulfillment Amazon Customer Excellency System) is seeking a highly talented and motivated Data Engineer to join the Quantitative Business Intelligence Tools (QuBIT) team. In this role, you will be for responsible for building a data lake and implementing data pipelines from various Fulfillment and Transportation applications used to provide seamless data access/visibility across North American Customer Fulfillment (NACF) Network with visibility spanning from Fulfillment Center teams to corporate leadership. This NACF network includes hundreds of fulfillment centers charged with completing and shipping hundreds of millions of packages to customers each year! Every package we ship out is an opportunity for improvement, translating to better prices and service to our customers.
We are looking for a data engineer to develop a robust, scalable data model and optimize the consumption of data sources we require to generate unique insights about our operations/systems. You will work with other professionals developing complex systems at scale and with a focus on sustained operational excellence. Members of this team will be challenged to innovate using the latest big data techniques. We are looking for people who are motivated by thinking big, moving fast, and exploring business insights. If you love to implement solutions to hard problems while working hard, having fun, and making history, this may be the opportunity for you.
Key job responsibilities
Design, implement and support an analytical data infrastructure providing ad-hoc access to large datasets and computing power
Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL and AWS big data technologies
Be enthusiastic about building deep domain knowledge about Amazon’s business and the fulfillment quality space.
Must possess strong verbal and written communication skills, be self-driven, and deliver high quality results in a fast-paced environment.
Enjoy working closely with your peers in a group of very smart and talented engineers.
Help continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers
Explore and learn the latest AWS technologies to provide new capabilities and increase efficiency- 1+ years of data engineering experience
- 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.
