Senior Data Engineer — Scalable Real-Time Data Pipelines
Summary
Build and maintain real-time data pipelines and scalable infrastructure for a data lake and warehouse using Python, SQL, and modern cloud platforms like Redshift, BigQuery, Snowflake, and Airflow.
Pattern is seeking a seasoned Data Engineer in Hong Kong to own real-time data streams and build scalable data pipelines that feed our data lake and warehouse. You will ensure data quality and partner with engineering and analytics teams to meet business needs.
The role requires strong SQL, Python, and experience with modern data platforms like Redshift, BigQuery, Snowflake, and Airflow. Excellent communication and English proficiency are essential.