Data Engineer

• Work with internal and external teams to design and implement technical architecture in order to facilitate the advanced activation of data
• Interacting with 3rd party MarTech solutions (Google Analytics, Google Marketing Platform, Data Management Platforms, Tag Management Solutions, Adobe Analytics, Clouds, Customer Data Platforms, etc.)
• Come up with creative solutions to integrate data from a variety of sources into platforms and data warehouses
• Work with internal teams to specify data processing pipelines (database schemas, integrity constraints, delivery throughput) for use case activations and implement it in the cloud
• Work with internal data science team to scope and check typical machine learning and AI project requirements
• Work with data visualization teams to design and implement tables to help power complex dashboards

• 4-6 years experience in a data engineering role
• Significant experience and (preferably) certified in public cloud products: GCP Cloud Architect / Data Engineer or equivalent on AWS
• Experience with tools like dbt
• Familiar with ETL/ELT and (nice to have) reverse ETL platforms
• Experience on a cloud-based or Business Intelligence project (as a technical project manager, developer or architect)
• DevOps capabilities (CI/CD, Infrastructure as code, Docker, etc.)
• Experience leveraging digital data in the cloud for marketing activations
• Excellent verbal and written communication skills and comfortable working with both marketing and technical teams
• Client-facing experience for detailed technical specifications discussions
• Fluent in SQL, Python or R
• Experienced in working with event-driven systems
• Experienced with Pub/Sub or equivalent message broker platform
• Knowledge of cloud computing best practices (IE – security, cost-control, etc.)
• Experienced with version control systems
• Experienced in building webhooks

Familiar with reverse ETL platforms