Data Engineer, Prime Video Sports

Description

Come build the future of entertainment with us. Are you interested in helping shape the future of movies and television? Do you want to help define the next generation of how and what Amazon customers are watching?

Prime Video is a premium streaming service that offers customers a vast collection of TV shows and movies - all with the ease of finding what they love to watch in one place. We offer customers thousands of popular movies and TV shows including Amazon Originals and exclusive licensed content to exciting live sports events. We also offer our members the opportunity to subscribe to add-on channels which they can cancel at anytime and to rent or buy new release movies and TV box sets on the Prime Video Store. Prime Video is a fast-paced, growth business - available in over 240 countries and territories worldwide. The team works in a dynamic environment where innovating on behalf of our customers is at the heart of everything we do. If this sounds exciting to you, please read on.

We are looking for a Data Engineer to embark on our journey to build a Prime Video Sports tech team in Israel from ground up. Our team will focus on developing products to allow for personalizing the customers’ experience and providing them with real-time insights and revolutionary experiences using Computer Vision (CV) and Machine Learning (ML). You will get a chance to work on greenfield, cutting-edge and large-scale engineering and big-data challenges, and a rare opportunity to be one of the founders of the Israel Prime Video Sports tech team in Israel.

Key job responsibilities

• Design and deliver big data architectures for experimental and production consumption between scientists and software engineering.
• Develop the end-to-end automation of data pipelines, making datasets readily-consumable by science and engineering teams.
• Create automated alarming and dashboards to monitor data integrity.
• Collaborate with internal and external partners to translate business inquiries into an analytical framework using BI tools
• Support designing and analyzing statistical tests (e.g., A/B tests) and applying statistical methods to inform data-driven decisions
• Act as the subject matter expert for the data structure and usage.
  
  

• Experience with data modeling, warehousing and building ETL pipelines
• Bachelor's degree in Computer Science, Engineering, Mathematics, or a related technical discipline; or equivalent experience.
• Extensive industry experience in Software Development, Data Engineering, Business Intelligence, Data Science, or related field with a track record of manipulating, processing, and extracting value from large datasets.
• Hands-on experience and advanced knowledge of SQL.
• Experience using big data technologies (Hadoop, Hive, Hbase, Spark, EMR, etc.).
• Experience coding and automating processes using Python or R.
  
  

• Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
• Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)
• Masters in computer science, mathematics, statistics, economics, or other quantitative fields.
• Experience working with AWS big data technologies (Redshift, S3, EMR, Glue).
• Experience working with big-data pipelines processing video content.
• Background in Big Data, non-relational databases, Machine Learning and Data Mining is a plus.