MINIMUM QUALIFICATIONS

• Bachelor’s Degree or equivalent work experience
• 3+ years of experience building and optimizing big-data pipelines, architectures, data sets in cloud platforms such as Azure, AWS, GCP
• 3+ years of experience building Data Warehouse and Data Lake environments
• 3+ years of experience utilizing python

PREFERRED QUALIFICATIONS

• Experience with containerization and microservices (e.g., Docker, Kubernetes)
• Experience with both relational SQL and NoSQL databases
• Experience with ETL tools such as Azure Data Factory

• Leads data engineering strategy for complex projects from beginning-to-end
• Designs and deploys highly reliable, scalable and timely data products
• Collaborates to ensure best practices in data architecture are leveraged across multiple environments (e.g. data warehouses, data lake, etc)
• Effectively communicates data engineering concepts to a non-technical audience.
• Assembles large, complex data sets that meet business requirements.
• Identifies, designs, and implements internal process improvements
• Creates data tools for analytics and Data Scientists that facilitate the building & optimizing of products
• Works with Data & Analytics experts to strive for greater functionality in our data systems