Data Engineer, Games Finance Analytics

Amazon • Seattle, WA

22h

About The Position

The Amazon Luna team is leveraging the power of the cloud to enable customers to
experience the rich and immersive world of gaming on all of their existing
devices. Luna represents an exciting business, with a high degree of innovation,
and an opportunity to reach a large volume of passionate customers.

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.

Requirements

• 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)

Nice To Haves

• Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
• 3+ years of data engineering experience
• Master's degree or above in a quantitative/technical field such as computer science, engineering, statistics

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 organization’s needs
• Explore and adapt latest AWS technologies to provide new capabilities and increase efficiency

Benefits

• 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
• parental leave

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level