Freeing the World’s Entertainment to Super-Serve Audiences and Advertisers Everywhere
free TV • entertainment • streaming • advertising
August 14
🏢 In-office - San Francisco
Freeing the World’s Entertainment to Super-Serve Audiences and Advertisers Everywhere
free TV • entertainment • streaming • advertising
• Handle the collection and processing of large scale raw data. • Develop and enhance our analytics pipeline by creating new tools and solutions to facilitate intuitive data consumption for stakeholders. • Implement CI/CD pipelines for data operations ensuring efficient and smooth deployment of data models and applications.
• 5+ years of experience building scalable batch and streaming data pipelines (Spark or Flink) • 3+ years of experience designing and implementing pipelines for ETL and cleaning of data from a wide variety of sources using API’s, SQL, Spark and AWS technologies. • Greenfield data warehouse modeling experience • Strong knowledge of Streaming, distributed databases, and cloud storage (e.g., S3). • Strong experience in JVM language (Scala is not required, but preferred) • Prior experience with Kafka, Kinesis, or equivalent.
• Medical/dental/vision insurance • 401(k) plan • Paid time off • Generous Parental Leave Program • Monthly wellness reimbursement
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