Amazon.com Services LLC
Advertising
DataEngineerII,PrimeVideoAdvertising
Neural analysis suggests this role is
optimal for Mid candidates.
“Data Engineer II, Prime Video Advertising at Amazon.com Services LLC. Skills: Data Engineering, AWS, ETL, Big Data. Design scalable data pipelines. Implement scalable data pipelines”
What You'll Achieve.
Drive efficient ETL processes; Empower data-driven decisions
Industry & Context.
Synthesize technologies; Lead complex projects
What They're Looking For.
Must Have
Bachelor's degree, 3+ years data engineering experience, Experience with data modeling, Experience building ETL pipelines, Experience with SQL, Knowledge of professional software engineering, Knowledge of distributed systems, Knowledge of batch data architectures, Knowledge of streaming data architectures, Experience manipulating large datasets, Experience processing large datasets, Experience extracting value from large datasets, Experience in modern scripting language, Experience in modern programming language, Experience with Apache Spark, Experience with Elastic Map Reduce
Nice to Have
Experience with AWS technologies, Experience with non-relational databases, Master's degree in computer science, Master's degree in engineering, Master's degree in analytics, Master's degree in mathematics, Master's degree in statistics, Master's degree in IT, Experience programming with C++, Experience programming with C#, Experience programming with Java, Experience programming with Python, Experience programming with Golang, Experience programming with PowerShell, Experience programming with Ruby, Experience building highly available systems, Experience operating highly available systems, Experience building distributed systems, Experience operating distributed systems, Experience with data extraction, Experience with data ingestion, Experience with processing large data sets, Experience with analytical skills, Experience with attention to detail, Experience with effective communication
What You'll Do.
Design scalable data pipelines
Implement scalable data pipelines
Design fault-tolerant data pipelines
Implement fault-tolerant data pipelines
Build scalable data pipelines
Build fault-tolerant data pipelines
Extract data from multiple sources
Transform data from multiple sources
Load data from multiple sources
Collaborate with BIEs
Collaborate with Data Scientists
Collaborate with SDEs
Understand data requirements
Deliver customized data solutions
Automate infrastructure deployment
Ensure streamlined deployment processes
Ensure streamlined maintenance processes
Implement data validation techniques
Implement data cleansing techniques
Implement data deduplication techniques
Implement data governance standards
Implement access control
Implement data retention policies
Implement data deletion policies
Implement audit mechanisms
Continuously improve data pipelines
Continuously improve infrastructure
Optimize data pipelines
Optimize infrastructure
Stay up to date with technologies
Implement automation tools
Implement monitoring tools
Build scalable data platform
Build reliable data platform
Support experimentation
Build self-service data products
Write high quality code
Build scalable applications
Interface with critical services
Extract unstructured data
Process unstructured data
Consolidate data from systems
Create end-to-end pipelines
How You'll Work.
Team & Collaboration
Cross-functionally; Data Scientists; Business Intelligence Engineers; Software Development Engineers; Product Managers
Communication Scope
Effective communication
Process & Methodology
Full software development life cycle, Source control management, Continuous deployments
Full Job Description
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! We are seeking a highly skilled and technically adept Data Engineer to join our PVA Data Engineering team. In this role, you will design, build, and maintain scalable, fault-tolerant data pipelines and infrastructure to support data-driven insights. Leveraging native AWS technologies and Amazon’s internal tools, you will handle data ingestion, transformation, integration, and ensure high standards of data quality through validation, cleansing, and deduplication. You will also be responsible for architecting high-performance, scalable, and cost-efficient big data processing and storage solutions, automating infrastructure with CI/CD principles, and op
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