Sr. Data Engineer

Job summary
Amazon's Global Media and Entertainment (GME) organization encompasses Prime Video, Amazon Music, Twitch, Audible, and Amazon Games businesses. The GME Finance team is establishing a new tech team to build and operate systems that provide management and financial reporting for GME leadership. We are seeking an experienced Senior Data Engineer to lead the data strategy for our projects. As part of our team, you will help build a highly scalable, fully automated planning and reporting platform to support our finance teams. We have a multi-year roadmap with exciting projects that aim to deliver automated planning and reporting solutions, accelerate predictive forecasting, and creating interactive UIs for our analysts.

This role requires an individual with excellent data modeling, database architecture, and software development skills. A successful candidate will have the ability to work with technology, finance, product and business teams. This person will have the ability to Think Big about opportunities and challenges facing the business and the ability to influence the data strategy through effective verbal and written communication, logical reasoning, and the presentation of alternatives.

Key job responsibilities
· Architect and develop end to end scalable data applications and data pipelines
· Establish scalable, efficient, automated processes for reporting, dashboards, data analyses and model development
· Build data infrastructure and manage other AWS resources including EC2, RDS, Redshift, EMR, etc.
· Collaborate with other teams to extract, transform, and load data from a wide variety of data sources using SQL and AWS big data technologies
· Participate in data strategy and road map exercises, data warehouse design and implementation

Basic Qualifications

· 5+ years of experience as a Data Engineer or in a similar role
· Experience with data modeling, data warehousing, and building ETL pipelines
· Experience in SQL
· Knowledge of Engineering and Operational Excellence
· Ability to work on a diverse team managing multiple projects at once

Preferred Qualifications

· Masters in computer science, engineering or other quantitative fields
· Excellent communication skills
· Knowledge of data security and data privacy regulation processes, operations, principles, architectural requirements, engineering and vulnerabilities
· Experience leading large-scale data warehousing and analytics projects, including using AWS technologies – Redshift, S3, EC2, etc.
· Working experience with Machine Learning algorithms is a plus



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.