toogeza

Data Engineer

• Understand, format and prepare data for analytics and data-science processes.
• Design, build, and optimize scalable ETL/ELT pipelines for batch and streaming data.
• Collaborate with analysts to understand data needs and ensure accessible, well-modeled data sets.
• Dive deep into system metrics and usage patterns to identify opportunities for FinOps-driven cost savings.
• Manage data infrastructure on GCP (BigQuery, Cloud Composer,Vertex AI, Kubernetes, etc.).
• Automate infrastructure provisioning using Pulumi or Terraform.
• Set up data quality monitoring, alerting, and logging systems.
• Collaborate with data scientists and ML engineers to productionize models and build supporting pipelines.
• Continuously improve performance, scalability, and cost-efficiency of data workflows.

Data Engineer/Developer

iOS Engineer

• Design and develop an innovative AI-powered application (voice interface, video compositing, image processing, smart camera, etc.)
• Maintain clean and modular architecture
• Contribute to shaping application functionality and user experience (UX)
• Design a modern, modular, and scalable app architecture (MVVM/Clean)
• Write clean, maintainable, and reusable code
• Build responsive and interactive UI
• Optimize and support existing modules
• Implement innovative solutions and features

Data Engineer/Developer

iOS Developer