Data Engineer, Amazon Games Finance

• Bachelor's degree or higher in a quantitative/technical field (e.g. Computer Science, Economics, Finance, Mathematics, Statistics, Engineering)
• 1+ years of relevant experience one of the following areas: data science, data engineering, business intelligence or business analytics Experience with data modeling, data warehousing, and building ETL pipelines
• Hands-on experience and advanced knowledge of SQL, Python etc.

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
• Masters in computer science, mathematics, statistics, economics, or other quantitative fields.
• 3+ years of experience as a data engineer, BI Engineer, Business/Financial Analyst or Systems Analyst
• Experience with AWS services including EC2, S3, Redshift, EMR, Glue
• Knowledge of software engineering best practices across the development lifecycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations
• Proven success in communicating with users, other technical teams, and senior management to collect requirements, describe data modeling decisions and data engineering strategy

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.