Data Engineer (Data Warehouse) - Singapore

What You Will DoDesign and develop data warehouse systems, including data modeling, ETL process development, and data quality assurance. Collaborate with business teams and data analysts to understand business needs and deliver warehouse solutions. Continuously optimize data processing performance to improve platform stability and efficiency. Research emerging technologies to drive the next-generation upgrade of the data platform. Minimum QualificationsWhat we are looking forBachelor's or Master’s degree in a technical field (Computer Science, Engineering or a related field. 3-5 years of experience in data warehouse development, including big data development, data warehouse modeling; Strong understanding of data warehouse architecture and principles Proficient in at least 2 programming languages (e.g. SQL, Python, Scala, Java, Go) Preferred QualificationsExperience with big data platforms (Hive, Spark, Airflow, Kafka, Flink, etc.) and relational databases. Experience in backend engineering skills are a plusFamiliar with AWS data tools (E.g. Snowflake, and data pipeline technologies) Familiar with data security and compliance Strong communication skills and team spirit, with curiosity and openness to new technologiesDisclaimer: Plaud is and will continue to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristics.