Exusia
Exusia is a management consulting firm specializing in AI, Cloud, Data Engineering, and Digital Solutions. Formed in 2012, Exusia is dedicated to facilitating digital transformation worldwide with headquarters in Miami, Florida, and operations in Asia, UK, and South Africa. The company offers services in digital transformation, mergers and acquisitions, data monetization, cloud modernization, self-service, and regulatory compliance, aiming to help businesses scale revenues, increase client satisfaction, and reduce expenditures and risks.
Strategy • Analytics • Data Engineering • Cloud • Business Intelligence
201 - 500 employees
🤖 Artificial Intelligence
Senior Data Engineer
October 20, 2024
Exusia
Exusia is a management consulting firm specializing in AI, Cloud, Data Engineering, and Digital Solutions. Formed in 2012, Exusia is dedicated to facilitating digital transformation worldwide with headquarters in Miami, Florida, and operations in Asia, UK, and South Africa. The company offers services in digital transformation, mergers and acquisitions, data monetization, cloud modernization, self-service, and regulatory compliance, aiming to help businesses scale revenues, increase client satisfaction, and reduce expenditures and risks.
Strategy • Analytics • Data Engineering • Cloud • Business Intelligence
201 - 500 employees
🤖 Artificial Intelligence
📋 Description
• Exusia seeks a Senior Data Engineer for AI, Data & Cloud practice • Focus on delivering AI, Data & Analytics solutions using Google Cloud Platform • Contribute to competency development & driving innovation in cloud solutions • Work on client projects to Architect and deliver data pipelines and analytics solutions • Provide technical leadership and own technical deliverables in SDLC • Collaborate with delivery leadership to meet project deadlines and quality standards • Mentor junior resources and contribute to the growth of the Cloud practice
🎯 Requirements
• 5+ years of experience working with various Cloud platforms • Minimum 3 years on GCP general architecture with at least 2 end to end projects • Knowledge in Infrastructure and application Migrations from on premise to GCP • Hands on experience working on GCP Cloud projects in data engineering, Business Intelligence or Machine Learning • Ability to lead a technical solution discussion on the cloud infrastructure and architecture • Responsible for design setting up of new GCP cloud environments, Sizing and managing deployments • Must have handled projects using ETL / Data Pipeline and Orchestration tools – Cloud composer, Cloud data fusion, Dataflow and Dataproc • Must have exposure to Data Analytics & Querying services like BigQuery, Datalab • Must have hands on experience on Big Table, Datastore, Firestore and Memorystore • Should have exposure to GCP services: Cloud storage, Persistent disk, Cloud filestore, App Engine, Compute Engine and VMware Engine, Artifact & Container Registry, Cloud source repositories • Problem-solving skills along with good interpersonal & communication skills • Nice-to-Have: Exposure to GCP AI & ML services, Network services such as Cloud CDN / DNS / IDS / NAT / Interconnect / VPN / VPC, Understanding of AWS and Azure offerings
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