Data Engineer (GCP / Azure)

Junior Data Engineer role at Aays Analytics focused on designing and implementing data and analytics solutions on Google Cloud Platform (GCP). The position involves working with clients to reinvent their corporate finance functions through advanced analytics. Key responsibilities include architecture design, data modeling, and mentoring teams on GCP-based solutions.

Key Responsibilities

• Design and drive end-to-end data and analytics solution architecture from concept to delivery on Google Cloud Platform (GCP)
• Design, develop, and support conceptual, logical, and physical data models for advanced analytics and ML-driven solutions
• Ensure integration of industry-accepted data architecture principles, standards, guidelines, and concepts
• Drive the design, sizing, provisioning, and setup of GCP environments and related services
• Provide mentoring and guidance on GCP-based data architecture to engineering, analytics, and business teams
• Review solution requirements and architecture for appropriate technology selection and integration
• Advise on emerging GCP trends and services, and recommend adoption strategies
• Participate in pre-sales engagements, PoCs, and contribute to thought leadership content
• Collaborate with founders and leadership team on cloud and data strategy