Senior Data Engineer

US, CA, Virtual Location - California

Applications have closed

Amazon.com

Free shipping on millions of items. Get the best of Shopping and Entertainment with Prime. Enjoy low prices and great deals on the largest selection of everyday essentials and other products, including fashion, home, beauty, electronics, Alexa...

View company page

Job summary
The Prime Video team is shaping the future of digital video entertainment. Our mission is to offer customers the widest selection of digital video content including Amazon Originals and Live Sports and make it trivially easy for them to enjoy it wherever and whenever they want.

The X-Ray team's mission is to help customers further immerse in the Movies, TV, and Live Sports they love to watch by answering burning questions like 'Who's that Actor?', 'What's that song?' or 'What was the call on that last play?' To help us fulfill this mission, we are looking for a customer-obsessed senior data engineer with proven experience to help our team answer hard questions by leveraging massive datasets.

You'll work cross functionally analytics, product, and engineering teams to build scalable infrastructure and data solutions. You will apply cloud-based AWS services to solve challenging problems around: big data processing, data warehouse design, and enabling self-service. You will focus on automation and optimization for all areas of Data Lake/ETL maintenance and deployment. You will also lead internal data governance mechanisms that ensure overall completeness and accuracy of underlying data.

This role is a unique high impact going both broad and deep - you will have the opportunity to work with cross-cutting datasets across Prime Video while also becoming an expert on specific areas of the business.

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

  • Expertise in data modeling, data-warehouse design and overall end to end performance of the analytical solution
  • Experience in working with upstream data source teams to ensure overall data consistency, accuracy and completeness of data
  • Expertise in the design, creation and management of large datasets/data models.
  • Ability to write high quality, maintainable, and robust code, often in SQL, Scala and Python.
  • Demonstrated strength in data modeling - understanding of 3NF, Star schema, etc.
  • Experience/Exposure using big data technologies (Hadoop, Hive, Hbase, Spark, EMR, etc.)



Preferred Qualifications

  • Passion for Entertainment (movies, tv, live sports)
  • Masters or Bachelors degree in Computer Science, Engineering, Math, Finance, Statistics or a related discipline
  • Experience with Amazon Redshift
  • Experience in scripting languages
  • Experience working with business owners to define key business requirements and convert to technical specification
  • Experience handling Big data volumes and performance tuning
  • Familiarity with solutions such as AWS, EC2, S3, or DynamoDB
  • Experience working in a UNIX/LINUX environment
  • Strong analytical and problem solving skills
  • Excellent verbal and written communication skills
  • Experience working with business owners to convert key business requirements into technical specifications


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.




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.

Pursuant to the Los Angeles Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: AWS Big Data Computer Science Data governance Data warehouse Data Warehousing DynamoDB EC2 Engineering ETL Finance Hadoop HBase Linux Mathematics Pipelines Python Redshift Scala Spark SQL Statistics

Regions: Remote/Anywhere North America
Country: United States
Job stats:  19  3  0
Category: Engineering Jobs

More jobs like this

Explore more AI, ML, Data Science career opportunities

Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.