Data Engineer, Games Finance Analytics
Share
Job Location:
Seattle, OR - USA
Monthly Salary:
Not Disclosed
Posted on:
Yesterday
Vacancies:
1 Vacancy
Department:
Job Summary
We are seeking a highly skilled and motivated Data Engineer to join our team (Games Finance Analytics) in Seattle. This is your opportunity to be a core part of the team that has direct impact on affecting the long-term roadmap of Amazon Luna. As a DE you will partner with several team members to design develop expand and optimize our data solutions. You will develop and support analytic capabilities to give flexible and structured access to data that is timely accurate and actionable. The successful candidate will have deep subject matter expertise on optimizing data storage processing structured and semi-structured data streams to build self-service business intelligence infrastructure for analysts and business teams.
Key job responsibilities
- Develop and maintain infrastructure and data pipelines for Games Finance & Luna
- Build maintain and optimize scalable self-service solutions that empower stakeholders to address their data needs.
- Interface with internal and external teams to extract transform and load data from a wide variety of data sources
- Assist finance and business stakeholders in creating business requirement documents to drive projects working backward from customer needs.
- Implement standardized automated operational and quality control processes for complex datasets to deliver accurate and timely data and reporting to meet or exceed SLAs
- Communicate timely information to all stakeholders on current and future initiatives prioritizing based on the organizations needs
- Explore and adapt 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
- 3 years of data engineering experience
- Masters degree or above in a quantitative/technical field such as computer science engineering statistics
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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience qualifications and location. Amazon also offers comprehensive benefits including health insurance (medical dental vision prescription Basic Life & AD&D insurance and option for Supplemental life plans EAP Mental Health Support Medical Advice Line Flexible Spending Accounts Adoption and Surrogacy Reimbursement coverage) 401(k) matching paid time off and parental leave. Learn more about our benefits at WA Seattle - 101300.00 - 160000.00 USD annually
Required Experience:
IC
Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
About Company
Free shipping on millions of items. Get the best of Shopping and Entertainment with Prime. Enjoy low prices and great deals on the largest selection of everyday essentials and other products, including fashion, home, beauty, electronics, Alexa Devices, sporting goods, toys, automotive ... View more
