Data Engineer

The Data Engineer will lead the design and implementation of the cloud data infrastructure

What You Will Do

• Implementation: Implement solutions on the Google Cloud platform, including data pipelines, data warehouses, and data lakes
• Data Modeling: Design and develop data models and data structures for effective data storage, retrieval, and analysis
• Integration: Integrate data from various sources, including internal and external systems, to provide a comprehensive view of the data.
• Optimization: Optimize data solutions for performance, scalability, and reliability
• Testing and Deployment: Test and deploy solutions to ensure they meet business requirements and are ready for production
• Documentation: Create and maintain technical documentation for data solutions

What You Bring

• Strong background in Data Engineering, including experience with data pipelines, data warehouses, and data lakes
• Experience working in GCP-based deployments (Batch/Real-Time) leveraging SQL, Databricks, ADLS, Blob Storage, ADF, Azure Automation, etc.
• Experience with one or more of the follow scripting languages: Python, SQL and/or other for ETL
• Experience with building data infrastructure to support Artificial Intelligence and Machine Learning