Data Engineer, Prime Video Global Brand & Marketing Insights

Prime Video is a first‑stop entertainment destination offering customers a vast collection of premium programming in one app available across thousands of devices. Prime members can customize their viewing experience and find their favorite movies, series, documentaries, and live sports – including Amazon MGM Studios‑produced series and movies; licensed fan favorites; and programming from Prime Video add‑on subscriptions such as Apple TV+, Max, Crunchyroll and MGM+. All customers, regardless of whether they have a Prime membership or not, can rent or buy titles via the Prime Video Store, and can enjoy even more content for free with ads. Are you interested in shaping the future of entertainment? Do you want to invent, disrupt and redefine what entertainment means for fans, creators, and communities all around the globe? As part of the Prime Video team, you’ll get to work on projects that are fast‑paced, challenging, and varied. Also, you’ll get 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 creatives, technologists, marketing professionals and so much more, you can decide where a career with Prime Video takes you! Key Job Responsibilities Build & Optimize data models & pipelines for complex global datasets Own ongoing data quality & self‑service access to datasets for business intelligence, AI‑based tools, and Model Context Protocols (MCP) Improve metadata for better AI results Collaborate with research program leads, data scientists, business intelligence engineers, and other data engineers to maintain stable, performant data solutions Write secure, stable, testable, and maintainable code with minimal defects Apply appropriate data design approaches and make judicious trade‑offs without over‑engineering Optimize resource usage, including system hardware, data storage, query optimization, and AWS infrastructure Participate actively in code reviews, design discussions, and roadmap planning Resolve root causes of complex problems while balancing stakeholder requirements with team needs Stay current on the latest innovations in the field, including ways that AI can be better used by our stakeholders to analyze and visualize our data Develop & maintain automated reporting and dashboards to provide visibility into brand, marketing, and social performance and allow stakeholders to self‑serve insights About the Team The PV Global Brand & Marketing Insights team drives global marketing decision‑making by being the voice of the customer for the Global Marketing organization. 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. We work with teams responsible for planning and executing strategies to drive the future of the PV brand. Basic Qualifications 2+ 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) Knowledge of basics of designing and implementing a data schema like normalization, relational model vs dimensional model 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 Experience using BI tools (e.g., Tableau, Adobe) to visualize data Preferred Qualifications Experience with big data technologies such as Hadoop, Hive, Spark, EMR Experience with any ETL tool like Informatica, ODI, SSIS, BODI, Datastage, etc. Experience with AWS services including S3, Redshift, Sagemaker, EMR, Kinesis, Lambda, and EC2 Experience with big data technologies such as AWS, Hadoop, Spark, Pig, Hive etc. Experience with test‑driven development Experience architecting/operating solutions built on AWS Experience in component selection and understanding of component reliability Equal Opportunity Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County Applicants Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 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