• Design, build and launch efficient and reliable data pipelines for ingesting and transforming data 3rd party systems
• Optimize data storage, schemas, and data migration approaches
• Continually improve computational efficiency in analytical processing at scale
• Own and maintain Schoolytics’ internal data infrastructure assets primarily hosted on Google Cloud
• Design and deploy data products to serve end-users
• Build data engineering tools and frameworks to enable common data processing patterns at scale 
• Build back-end data services for internal applications

Qualifications:

• 3+ years of hands-on experience with Python, Java, or Scala for data processing
• 3+ years of data or software engineering experience
• Knowledge of data pipelining and workflow management tools such as Apache Airflow and Apache Beam
• Experience with Google Cloud Platform
• Working experience with data warehouses such as BigQuery
• Advanced working SQL experience
• Experience building big data processing pipelines using a distributed data processing engine/framework
• Familiar with dimensional data modeling and data normalization
• Exposure to working in a dynamic and fast-paced role