About the Role:

Tubi is a data-driven company, where new types of data are emerging, and the volume of data is growing at an incredible velocity.  If you are a data enthusiast that treats data like a product, wires big data technologies together, and is eager to unlock data to its full potential, this is the role for you.  As an analytics engineer, you will work directly with the growth team to understand the ever-growing data needs, then turn them into a scalable/repeatable data processing framework.  You will work closely with our engineering team to understand our holistic data platform and data architecture.  You will help push the boundaries on how data is leveraged for decision-making, and support the next generation of data initiatives.

Responsibilities:

• Create and maintain ETL data pipelines to support growth marketing
• Design, develop, and implement data models and pipelines in a scalable and optimal data architect using SQL, python, and big data technologies.
• Assemble large and complex datasets from various data sources into formats that can be effectively utilized by growth analysts and growth marketers
• Automate manual process, and optimize internal/external data delivering pipelines
• Identify data processing improvement, re-design data infrastructure, and implement the optimizations
• Develop highly governed growth data with clear definitions, manage it closely for quality and changes, and ensure data accessibility at all times
• Build analytics tools that utilize data pipelines to assist analytics team in building industry leading data products on reporting and measurement 
• Partner with internal business stakeholders, our engineering teams, as well as external vendors

Your Background:

• 7+ years of experience designing, building, and optimizing data pipelines and architectures at large scale and extreme complexity.
• Advanced SQL knowledge and experience working with relational databases, query authoring, as well as experience with a variety of databases.
• Experience with DBT, Databricks, or similar workflow management tools
• Experience using Python for data table creation in databricks 

Nice to have:

• Hands-on experience on Spark and AWS cloud services like EC2 and Redshift
• Familiarity with data visualization tools like Periscope, Tableau, or Looker
• Experience working with Performance Marketing data

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