Amazon.com Services LLC
Technology
DataEngineer,PrimeVideo-GSSPlanning&Strategy
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Data Engineer, Prime Video - GSS Planning & Strategy at Amazon.com Services LLC. Skills: Data engineering, Data modeling, ETL, Cloud platforms. Design, build, and maintain scalable data pipelines. Develop and optimize data models”
What You'll Achieve.
Improve data availability; Enhance data quality; Support data-driven decision making
Industry & Context.
Root cause analysis; Troubleshooting; Data analysis
What They're Looking For.
Must Have
Bachelor's degree, 5+ years of experience in data engineering or related field, Proficiency in SQL, Experience with data modeling, Experience with ETL processes, Experience with cloud platforms (AWS, GCP, or Azure)
Nice to Have
Master's degree or PhD, Experience with large-scale data warehousing, Experience with distributed data processing frameworks (e.g., Spark), Experience with data visualization tools, Experience with machine learning frameworks, Experience with CI/CD pipelines, Experience with containerization technologies (e.g., Docker, Kubernetes)
What You'll Do.
and maintain scalable data pipelines
Develop and optimize data models
Implement ETL processes
Ensure data quality and integrity
Collaborate with stakeholders to understand data requirements
Develop and deploy machine learning models
Build and maintain data infrastructure on cloud platforms
Monitor and troubleshoot data systems
Automate data processes
Document data systems and processes
How You'll Work.
Team & Collaboration
Cross-functional teams; Data scientists; Analysts; Software engineers
Communication Scope
Technical presentations; Requirement gathering
Process & Methodology
Agile methodologies
Full Job 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, marketing, and operations teams are creating the best-in-class digital video experience. 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. Within our Prime Video Global Operations team, we're looking for a results-driven Data Engineer to build and scale the data infrastructure backbone that powers our reporting, analytics, and AI-enabled insights capabilities. In this role, you will design and implement robust data pipelines, integrate data from marketing, business teams, finance, and cross-functional teams. You will also build AI/ML-enabled data solutions and architect the foundational data infrastructure that enables insights, planning, reporting mechanisms, and agentic AI-powered self-service analytics for Amazon PV Global Operations. This individual has deep expertise in data engineering — including scalable ETL/ELT pipelines, data modeling, and architecting solutions that support high-impact business intelligence. You will be responsible for strengthening Prime Video's Global Marketing Operations data infrastructure, operational metrics pipelines, and capacity planning data systems. You will build automated, reliable, and performa
Applying for this Data Engineer, Prime Video - GSS Planning & Strategy role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
ANONYMOUS · UNFILTERED
What do employees actually say about Amazon.com Services LLC?
Real rants from real employees. Read before you apply.