Senior Analytics Engineer

As a Senior Analytics Engineer on our Data Engineering team, you will be responsible for developing the core service that provides data to the entire enterprise. You will be responsible for building the data models consumed throughout Vivint. Working closely with our internal business teams, you will build and help maintain a data platform that provides timely, accurate, and reliable data to thousands of users., * Build cross functional relationships with other technology teams, business operations teams, and data analytics teams to understand how they generate value as a business unit and how to provide data solutions that support or augment that value.

• Help build and maintain an enterprise data platform with its associated dimensional modeling and ETL processes
• Responsible for designing, building, and maintaining robust data models and pipelines
• Implement best practices and innovative solutions to provide timely, accurate, & reliable data
• Constantly evaluate and optimize deployment of data models to achieve greater efficiency and reliability

• Must have a passion for data and helping the business turn data into understanding and action
• Ability to both initiate and deliver enterprise-grade data solutions
• Ability to communicate effectively with business leaders and engineers
• Strong in SQL, databases, and data modeling methodologies
• 5+ years of full-time data engineering or SQL-based analytics as your core role using either Snowflake, BigQuery, or Databricks
• 3+ years professional experience with dbt (Cloud preferred)
• 3+ years professional experience with CI/CD, Azure DevOps, Bitbucket, or similar tools

Nice-to-have Skills and Experience:

• Professional experience with Python based data transformations or Streamlit apps
• Professional experience with Snowflake