AWS is one of Amazon’s largest and fastest growing businesses, serving millions of customers in more than 190 countries. We use cloud computing to reshape the way global enterprises use information technology. We are looking for entrepreneurial, analytical, creative, flexible leaders to help us redefine the information technology industry. If you want to join a fast-paced, innovative team that is making history, this is the place for you.
The AWS Finance Analytics and Science Team supports the BI needs of the AWS Worldwide Specialist Organization, a world-wide team of sales and technical specialists responsible for selling AWS' most advanced services.
The successful candidate will be an expert with SQL, ETL (and general data wrangling), and have exemplary communication skills. The candidate will need to be comfortable with ambiguity in a fast-paced and ever-changing environment, and able to think big while paying careful attention to detail. The candidate will be passionate about working with huge data sets and someone who loves to bring data together to answer business questions and drive growth.
Key job responsibilities
This role builds and continuously improves data models, processes, and mechanisms that provide business intelligence for AWS. The role will work with executives, program owners, finance, and technical peers to execute on large-scale projects that drive step change growth for the business. This role will help develop and implement data engineering best practices for the team in partnership with other engineers, scientists, and economists. The role will also be an important collaborator with other technical and business teams at AWS.
A day in the life
Our team takes big swings and works on really hard, cross-organizational problems. We ask people to grow their skills and stretch, and we do it in a supportive and fun environment. It’s about empirically measured impact, advancement, and fun.
About the team
Our group is technically rigorous. Our leaders are here for you and to enable you to be successful. We are communication centric, since being able to explain what we do ensures high success rates and lowers administrative churn. And if it’s not fun, what’s the point?- 2+ 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.
