Job Description
DESCRIPTION
Amazon is all-in on games, and our mission is to be the most customer-obsessed company in the games industry. At Amazon Game Studios, we’re creating compelling games like New World, a sandbox MMO set on a supernatural continent in the 17th century. Amazon Games is also delivering great game benefits to Prime members each month via Twitch Prime, and providing game developers of all sizes with the tools they need to succeed with Amazon Game Tech.
Our Games Finance Analytics team is seeking a highly skilled and motivated Data Engineer to join our team 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 Games. As a Data Engineer, you will partner with finance and business teams 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.
Responsibilities:
- Develop and maintain infrastructure and data pipelines for Games Finances
- 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 organization’s needs
- Explore and adapt latest AWS technologies to provide new capabilities and increase efficiency
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)
Job Tags
Full time, Flexible hours,