Data Engineer, ACES QuBIT ORBIT Team

North American Customer Fulfillment (NACF) Central Operations 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 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.

Key job responsibilities
You should be enthusiastic about learning new technologies and be able to design and implement data solutions using these technologies to empower internal customers and scale the existing platforms. This team has a broad scope including all of NACF, allowing creative freedom to explore broad business problems and areas of opportunity needing scalable and fast-moving solutions. Application breadth can range from creating a new solution to an old problem, or diving into a space to create new value for our operators in Fulfillment Centers. You should also be enthusiastic about building deep domain knowledge about Amazon’s business and the fulfillment quality space. You must possess strong verbal and written communication skills, be self-driven and deliver high quality results in a fast-paced environment. You need to really enjoy working closely with your peers in a group of very smart and talented engineers.

About the team
Amazon's Quantitative Business Intelligence Tools (QuBIT) Team owns a myriad of reporting-focused software products and services, acting as the centralized business intelligence team for Amazon's Customer Excellence Systems (ACES) organization. QuBIT believes that a positive, balanced, supportive, and inclusive workplace is key to your success, and provides active opportunities to learn and grow in your current role.

We are open to hiring candidates to work out of one of the following locations:

Arlington, VA, USA | Bellevue, WA, USA | Nashville, TN, USA

Basic Qualifications

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

Preferred Qualifications

- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
- Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc.
- Knowledge of AWS Infrastructure

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 $81,000/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.