Description

• 10+ years of prior experience as a Data Engineer working directly with Data Warehouses, Data Lakes, ELT/ETL, Data Pipelines
• Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related technical field
• Languages: Advanced proficiency in SQL and Python
• Cloud Platforms: Amazon Web Services (AWS), Google Cloud Platform (GCP), or Microsoft Azure.
• Data Warehouses & Frameworks: BigQuery or Redshift.
• Orchestration & Streaming: Apache Airflow, dbt (data build tool).
• US-based, Eastern/Central Time Zone ONLY
• Fluent English Speaker
  
   

Nice-to-have:

 

• 15+ years of prior experience as a Data Engineer working directly with Data Warehouses, Data Lakes, ELT/ETL, Data Pipelines
• Master’s degree in Computer Science, Information Systems, Engineering, or a related technical field
• Experience optimizing Data Pipelines
• Prior experience working in the Pharma industry
• Experience with BI Tools (e.g. Tableau)

Key Skills

Education

Bachelor's degree