Data Engineer

• Build, maintain, and troubleshoot ETL/ELT pipelines orchestrated with Apache Airflow under senior engineer guidance
• Write and optimize SQL transformations across StarRocks and Google BigQuery
• Support building and maintaining Airflow jobs and dbt models for data transformation
• Follow team standards for testing and documentation
• Support ingestion of data from multiple marketplace and social commerce platforms into the data warehouse
• Implement and maintain data quality checks against defined metrics and SLAs
• Monitor pipeline runs and investigate failures
• Escalate or resolve pipeline issues with support from senior team members
• Work with analysts and senior data engineers to understand data requirements and translate them into pipeline logic
• Participate in Agile ceremonies, including sprint planning, stand-ups, and retrospectives
• Apply team conventions for pipeline standardization, naming, and documentation
• Build proficiency with the modern data stack and DataOps practices, including version control, code review, and testing
• Collaborate with leading international brands through Intrepid Asia's ecommerce and digital solutions services