Staff Data Engineer, Data and AI, Customer Data Platform

📋 Description

• Own scalable ETL pipelines across batch and streaming workflows, using technologies such as Apache
• Build reliable data foundations across SQL databases, data warehouses, and modern data
• Develop data models and schemas that support business intelligence, machine learning, and
• Apply data engineering and AI to solve practical problems in creative ways
• Partner with globally distributed teams to deliver complex technical work with strong

🎯 Requirements

• A bachelor’s degree or higher in Computer Science, Information Systems, Finance, Mathematics, or a
• At least seven years of experience designing and implementing scalable ETL pipelines, including
• Experience with streaming technologies such as Apache Kafka or Apache Flink
• Strong proficiency in SQL, database management systems, data warehousing, and data modelling for
• Strong understanding of data schemas, including star, snowflake, normalized, and denormalized
• Strong problem-solving, attention to detail, communication, and collaboration skills