AI Data Engineer

Build and maintain scalable, automated data pipelines for logs and event streaming data on cloud platforms. Design data models and architectures to support analytics and machine learning initiatives.

Responsibilities

• Develop reusable frameworks and new capabilities to improve data processing efficiency.
• Ensure data quality, security, and reliability across all data solutions.
• Collaborate with data scientists and stakeholders to define data needs and deliver actionable insights.
• Optimize enterprise-scale data pipelines using modern tools.
• Apply data governance principles to support business-oriented problem solving.

Required Skills

• Bachelor's in Computer Science or related field with 4+ years experience, or Master’s with 3+ years.
• Experience building and optimizing enterprise-scale data pipelines.
• Proficiency in Spark, Airflow, and Azure.
• Strong command of SQL and Python for data transformation and automation.
• Deep understanding of data architecture, data modeling, and data governance.