Текст заказа
Our client is a Large-Scale Hong Kong Conglomerate (in-house) with multiple commercial business verticals. They are currently seeking an experienced Data Engineering Lead with hybrid data modelling exposure for their Data Monetization Team.
Responsibilities:
* Lead and mentor a small team of data engineers
* Lead end-to-end design of enterprise-grade cloud data platforms e.g. Lakehouse / Data Mesh patterns (80%)
* Establish conceptual and logical data models for high performance analytics & reporting (20%)
* Architect scalable ETL pipelines to ingest and transform high-volume data streams
* Establish CI/CD and automated testing protocols to guarantee high data availability across all consumption points
* Collaborate directly with BU leaders, Data Scientists and IT teams over complex business needs
Requirements:
* 10+ years of hands-on experience on Cloud Data Platforms (e.g. AWS, GCP, Azure, Snowflake, Databricks)
* Proven expertise in data platform architecture design (e.g. data warehouse, data lakes, lakehouses etc)
* Demonstrated mastery of data modeling methodologies, schema evolution, and metadata management
* Hands-on proficiency in SQL and related languages like Python / PySpark / R
* DevOps pipeline orchestration experience
* Fluent English communication skills is a must; Chinese communication skills is an added plus
_\[Please note: Personal data collected will be used for recruitment purposes only. Shortlisted applicants will be contacted for a confidential discussion by members of our team/company. Applicants not notified within eight weeks may consider their application unsuccessful.\]_