Job Role: Define data storage, integration, and management for enterprises.Responsibilities: Guide solution analysts, ensure integrated models, hands-on analysis.Prerequisites: Analytical skills, data modeling, database design, architectural understanding.
Data Architect
Job Role: – Design and implement ML algorithms, work with large datasets.Responsibilities: – Develop production-ready code, monitor data quality.Prerequisites: Python/R expertise, ML concepts, data mining, distributed computing.
ML Engineer
Job Role: Manage data warehouse back-end, ETL processes, dimensional design.Responsibilities: – Collaborate with data scientists, analysts, and engineers.Prerequisites: SQL Server, Azure DW, ETL experience, data accuracy.
Data Warehouse Engineer
Job Role: Structure systems, improve business, analyze cost-benefit.Responsibilities: Break down large projects, select IT products.Prerequisites: SQL, project management, software development experience.
Technical Architect
Job Role: Define technical vision, solve business problems, ensure quality.Responsibilities: Specify solutions, support build and operation, review architecture.Prerequisites: ITIL framework understanding, ECM knowledge, SDLC experience.