Positon: Data Architect – Python Location: Dearborn, MI – Hybrid opportunity Duration: Long term project Pay rate: $60-$70 with all benefits About Kyyba: Founded in 1998 and headquartered in Farmington Hills, MI, Kyyba has a global presence delivering high-quality resources and top-notch recruiting services, enabling businesses to effectively respond to organizational changes and technological advances. At Kyyba, the overall well-being of our employees and their families is important to us. We are proud of our work culture which embodies our core values; incorporating value, passion, excellence, empowerment, and happiness, creates a vibrant and productive atmosphere. We empower our employees with the resources, incentives, and flexibility that they need to support a healthy, balanced, and fulfilling career by providing many valuable benefits and a balanced compensation structure combined with career development. Position Description: • Design data solutions in the cloud or on premises, using the latest data services, products, technology, and industry best practices • Experience migrating legacy data environments with a focus performance and reliability • Data Architecture contributions include assessing and understanding data sources, data models and schemas, and data workflows • Ability to assess, understand, and design ETL jobs, data pipelines, and workflows • BI and Data Visualization include assessing, understanding, and designing reports, creating dynamic dashboards, and setting up data pipelines in support of dashboards and reports • Data Science focus on designing machine learning, AI applications, MLOps pipelines • Addressing technical inquiries concerning customization, integration, enterprise architecture and general feature / functionality of data products • Experience in crafting data lake house solutions in GCP. This includes relational & vector databases, data warehouses, data lakes, and distributed data systems. • Must have PySpark API processing knowledge utilizing resilient distributed datasets (RDSS) and data frames Skills Required: • Design data solutions in the cloud or on premises, using the latest data services, products, technology, and industry best practices • Experience migrating legacy data environments with a focus performance and reliability • Data Architecture contributions include assessing and understanding data sources, data models and schemas, and data workflows • Ability to assess, understand, and design ETL jobs, data pipelines, and workflows • BI and Data Visualization include assessing, understanding, and designing reports, creating dynamic dashboards, and setting up data pipelines in support of dashboards and reports • Data Science focus on designing machine learning, AI applications, MLOps pipelines • Addressing technical inquiries concerning customization, integration, enterprise architecture and general feature / functionality of data products • Experience in crafting data lake house solutions in GCP. This includes relational & vector databases, data warehouses, data lakes, and distributed data systems. • Must have PySpark API processing knowledge utilizing resilient distributed datasets (RDSS) and data frames Skills Preferred: • Ability to write bash, python and groovy scripts to help configure and administer tools • Experience installing applications on VMs, monitoring performance, and tailing logs on Unix • PostgreSQL Database administration skills are preferred • Python experience and experience developing REST APIs