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, cutting-edge 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.

BASIC QUALIFICATIONS

- 3+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with Redshift, Oracle, NoSQL etc.
- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
- Experience in writing complex, highly-optimized SQL queries across large data sets.

PREFERRED QUALIFICATIONS

- Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)
- Knowledge of distributed systems as it pertains to data storage and computing
- Proven success in communicating with business users, technical teams, and senior management to collect requirements, describe data modeling decisions and data engineering strategy.
- Experience providing technical leadership and educating other engineers for best practices on data engineering.
- Familiarity with statistical models and data mining algorithms.

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 $118,900/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.