Transform the design and the product vision into working products for the end users, foster a culture of sharing, re-use, scale stability and user-first design.
Design, develop, optimize, and maintain data engineering solutions for analytical use cases including related architecture and infrastructure with industry best practices.
Continue learning about new techniques and understand how to apply changing industry best practices to individual projects.
Mentor team members and support team’s continuous growth.
Requirements & Skills:
Demonstrated working experience on use case end-to-end data engineering solution delivery with good stakeholders’ management and communication skills.
Demonstrated experience in SAP BTP integration with Azure and Gen-AI architecture design and implementation.
Demonstrated experience in DataOps, InfraOps, DevOps, and MLOps(optional) best practices (Aure preferred) development and/or architecture role with at least one programming language (Python preferred).
Bachelor’s degree in Computer Science, MIS, or Engineering preferred.
SAP: BTP (e.g., Datasphere, SAC, AI, extended planning and analysis) and its integration with Azure.
Gen-AI solution: Microsoft/Databricks Gen-AI solution architecture and implementation.
Azure: Databricks, IaC(Bicep preferred), DevOps, Azure ML workspaces, vent, etc.
Stakeholder management and effective communication
Good team player and agile project delivery management
