Senior Data Engineer

• Develop automated data pipelines in AWS (lambdas Airflow Glue EKS)
  
• Design and build new ways of ingesting and providing data (API Snowflake 3rd party
  integrations).
  
• Implement multitenant data architecture systems.
  
• Design building and launching of new data models and data pipelines
  
• Implement best practices in data engineering including data integrity validation reliability and documentation and improving discoverability of data.
  
• Build relationships with Data Scientists Product Managers and Software Engineers to understand data needs.
  

Requirements

• 4 years of Data Engineering Experience
  
• 4 years of experience with SQL
  
• 3 years of experience with Python
  
• 2 years of experience with AWS
  
• Experience with Data pipelines
  
• Experience with CI/CD
  

• Experience with Terraform
  
• Experience with Airflow
  

Benefits

• Flex PTO for any reason including sick days flexible work schedule;
  
• Personal laptop;
  
• Health and wellness package;
  
• Hybrid work (34 days/month in office).