Responsibilities:

• Lead the architecture of our data collection infrastructure.


• Build the data models and ETL processes to provide this data for business use.


• Build reporting platforms and data visualization; as the data domain expert, you will. be partnering with our engineering teams, and data scientists across various initiatives.


• Be the authoritative source for all things data in the organization. When people have questions, you have answers, or at least know where to look.


• Build and maintain the data warehouse infrastructure.

• At least 3 years of professional experience as a data engineer or similar role.


• Strong programming skills (some combination of Python, Ruby, Java, and Scala preferred).


• Experienced in data warehousing (redshift, or snowflake), building data pipelines (using Spark/Hadoop), writing SQL (MySql/Postgresql), and working with real-time streaming applications.


• Working knowledge of the following: AWS (specifically EMR, Kinesis), Tableau or other visualization tools, as well as version control systems like Git or Subversion.


• Strongly preferred: experience not only collecting and modeling data but also working knowledge of data analytics and interpretation.


• Software Development , Java & Android , Python , Ruby on Rails