Data Analytics Engineer
dv01- Full Time
- Junior (1 to 2 years)
Candidates should possess at least 5 years of experience in data engineering, with a focus on building scalable and flexible data pipelines. Strong proficiency in SQL and Python for data manipulation is required, along with experience working with datasets at TB scale. Familiarity with Databricks, DBT, and AWS is considered helpful, and a passion for shipping production quality code with good test coverage is essential.
As a Data Engineer at Tubi, you will be responsible for being the primary owner of the data needs of a specific product vertical, encompassing raw data ingestion and end-user analysis. You will build intuitive datasets using Spark and DBT, track data quality issues and implement appropriate monitors, participate in on-call rotations, understand and document product vertical datasets, and serve as a liaison between the product vertical and the core data infrastructure team to ensure business needs are met efficiently.
Free ad-supported movie and TV streaming
Tubi provides a free streaming service that allows users to watch a large selection of movies and TV shows without any subscription fees. The platform operates on an ad-supported model, meaning that while users can access content for free, they will see advertisements during their viewing. This approach makes Tubi appealing to individuals who are looking for quality entertainment without the costs associated with services like Netflix or Hulu. Tubi primarily targets a diverse audience, including budget-conscious consumers and those who prefer streaming over traditional cable TV. Currently, Tubi operates in the United States and is working on meeting GDPR requirements to expand into European markets. The company's goal is to offer accessible entertainment while generating revenue through advertising partnerships.