Description

Design and deliver scalable, production-grade data solutions across AWS, Azure, and GCP while mentoring engineering teams and translating complex client requirements into secure, reliable data systems.

This role is remote.

Responsibilities

• Build robust data pipelines and end-to-end data platforms that power analytics and AI use cases.
• Collaborate with stakeholders to translate requirements into scalable and secure data systems.
• Lead technical direction and mentor engineering teams to ensure successful project delivery.
• Drive enterprise-scale data transformations across modern cloud ecosystems.

Required Skills

• 5+ years of hands-on data engineering experience.
• Deep expertise in Cloud Computing across AWS, Azure, and GCP.
• Proficiency in Snowflake for data warehousing and architecture.
• Strong background in Data Architecture and Pipeline Design.
• Experience with Data Integration and building production-grade solutions.

Preferred Skills

• Experience implementing analytics and AI use cases.
• Proven track record of mentoring engineering teams in cloud-first environments.

Key Skills

Education

Any Graduate