Description

Prime Video offers customers a vast collection of movies, series, and sports—all available to watch on hundreds of compatible devices. U.S. Prime members can also subscribe to 100+ channels including Max, discovery+, Paramount+ with SHOWTIME, BET+, MGM+, ViX+, PBS KIDS, NBA League Pass, MLB.TV, and STARZ with no extra apps to download, and no cable required. Prime Video is just one of the savings, convenience, and entertainment benefits included in a Prime membership. More than 200 million Prime members in 25 countries around the world enjoy access to Amazon’s enormous selection, exceptional value, and fast delivery.

Are you interested in shaping the future of entertainment? Prime Video's technology teams are creating best-in-class digital video experience.

As a Prime Video technologist, you’ll have end-to-end ownership of the product, user experience, design, and technology required to deliver state-of-the-art experiences for our customers. You’ll get to work on projects that are fast-paced, challenging, and varied. You’ll also be able to experiment with new possibilities, take risks, and collaborate with remarkable people.

We’ll look for you to bring your diverse perspectives, ideas, and skill-sets to make Prime Video even better for our customers. With global opportunities for talented technologists, you can decide where a career Prime Video Tech takes you!

The Prime Video (PV) Global Brand & Digital Intelligence team is hiring a Data Engineer that will be responsible for building data pipelines and generating insights to help the business better understand and deliver value to our customers. The Data Engineer, Global PV Brand & Digital Intelligence will work across a dynamic team of insights professionals focused on understanding and building customers’ relationship with the Prime Video brand and service.

The ideal candidate is a strategic-minded engineer with a proven track record of delivering highly impactful, data-driven business recommendations in a fast-paced environment. The ideal candidate thrives working with large volumes of data, enjoys the challenge of highly complex technical contexts, and is passionate about data and analytics. The candidate is an expert within data modeling, ETL design and cloud/big-data technologies and passionately partners with the business to identify strategic opportunities where improvements in data infrastructure creates large-scale business impact.

Key job responsibilities • Build end-to-end data pipelines to ingest and transform data from different types of data sources and systems; from traditional ETL pipelines to event data streams • Utilize data from disparate data sources to build meaningful datasets for analytics, reporting and ML use cases • Evaluate and implement various big-data technologies and solutions (e.g. Redshift, Hive/EMR, Spark, SNS, SQS, Kinesis) to optimize processing of extremely large datasets • Understand and analyze business processes, logical data models and relational database implementations • Write high performing and optimized SQL queries • Execute research projects, and generate practical results and recommendations • Design and implement automated data processing solutions and data quality controls

About The Team

The PV Global Brand & Digital Intelligence team drives global PV brand strategy decision-making by deeply understanding how audiences perceive the Prime Video service and which levers are most influential in driving brand love. Our work is global in scope, incorporating multiple countries with the goal of understanding universal customer truths, while also specifying local nuance per country by partnering with in-country insights leads. As part of the broader Brand & Social Strategy organization, we work with teams responsible for planning and executing strategies to drive the future of the PV brand.

We are open to hiring candidates to work out of one of the following locations:

Culver City, CA, USA | New York, NY, USA

Basic Qualifications • 7+ years of data engineering experience • Experience with data modeling, warehousing and building ETL pipelines • Experience with SQL • Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS • Experience mentoring team members on best practices • Knowledge of data mining techniques, predictive analytics, and statistical modeling • Knowledge of distributed systems as it pertains to data storage and computing

Preferred Qualifications • Experience with big data technologies such as: Hadoop, Hive, Spark, EMR • Experience operating large data warehouses • Prior experience working in insights within the entertainment industry • Prior experience working in an ambiguous and constantly changing environment • Knowledge of professional software engineering & best practices for full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence • Expert level skills writing and optimizing complex SQL

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.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $139,100/year in our lowest geographic market up to $240,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.

Company - Amazon.com Services LLC

Job ID: A2679120

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