Sr Data Engineer

Must Have 

• At least 1-3 experience with ETL support and development and analytical Python experience.    
• Strong SQL query writing skills.
• Experience with AWS Lambda or similar serverless ingestion pipelines.    
• Experience with GraphQL APIs and API ingestion best practices.    
• Comfortable working with Git and deployment pipelines.
• A detailed-oriented problem solver.

What you'll do

• Work closely with product and Engineering teams to support Business Operations data platforms.
• Design and implement best practices around data cleanliness and schema design to provide  a best in class real time data set.
• Built and support automation pipelines in AWS from third party SaaS providers into a first party data warehouse for analytics systems.
• Work directly with the CTO and other stakeholders on delivering the best data for dashboards powered by Looker.
• Build reusable products and systems that can effectively ingest data to leverage across all business teams.
• Automate the influx of data and build flexible solutions for data acquisition, ETL, and other automated pipelines.
• Support new feature developments between data sources for the client's own ingestion, reporting, and analysis platforms.
• Work with the data team and business stake-holders on architecture, capabilities, best practices and solutions to build out future enhancements.