As a Senior Data Engineer, you'll design, build, and operate scalable on-premises or cloud data architecture and modelling solutions, supporting the entire data asset lifecycle. You'll work with business stakeholders and technical teams to ensure development matches intended design.
Requirements
- Databricks certified or equivalent work experience
- Experience in various data management architectures such as Data Warehouse, Data Lake, Data Fabrics and Data Hub
- Demonstrated experience in handling unstructured data and structured data with large, complex, and multiple data sets from various sources
- Strong understanding in data integration tooling (Informatica, Datastage, SSIS, Nifi, Talend and Alteryx)
- Proficiency in SQL, Python and experience in application to data engineering tasks
- Experience with real-time, near real-time, MQ and streaming solutions (Kafka, Flink, AWS Kinesis, Azure Event Grid/Hub, Service Bus and Spark Streaming)
- Fluency in English, Mandarin or Cantonese preferred
Benefits
- Continuous learning
- Success as defined by you
- Transformative leadership
- Diverse and inclusive culture
- Free Tech MBA