Description:

Join a multi-disciplinary engineering team to build modern, enterprise-grade data platforms.
Define data strategy, own platform decisions, and contribute to technical leadership.

Requirements:

7+ years of professional data engineering experience.
Strong system architecture background with expertise in distributed data systems.
Proficiency in Python, Scala, and SQL.
Experience with cloud-native data platforms and enterprise data warehousing.
Expertise in data pipeline orchestration and processing, including streaming platforms.
Strong data modeling, quality, governance, and compliance experience.
Leadership and mentoring experience in a team setting.
Excellent communication skills to translate technical concepts.

Work in a fast-paced environment with a focus on delivering production-ready AI.
Opportunity to mentor junior engineers and influence data engineering standards.

Skills