Description

Key Skills: Data Engineering, Cloud Computing, AWS, Azure, GCP, Snowflake, Data Architecture, Pipeline Design, Data Integration, Leadership

Good to Have Skills: Experience with modern data integration tools, analytics and AI use cases implementation, enterprise-scale data transformations, and mentoring engineering teams in fast-paced cloud-first environments.

Roles & Responsibilities:

• Design and deliver scalable, production-grade data solutions across modern cloud ecosystems including AWS, Azure, and GCP.
• Build robust data pipelines and end-to-end data platforms that power analytics and AI use cases for global enterprise customers.
• Collaborate closely with stakeholders and clients to translate complex requirements into reliable, scalable, and secure data systems.
• Lead technical direction and mentor engineering teams to ensure successful project delivery and team development.
• Work at the intersection of architecture, data engineering, and client delivery to influence enterprise-scale data transformations.

Experience Required: Senior level hands-on engineering experience with strong autonomy and ownership in cloud-first environments

Key Skills

Education

Any Graduate