Job description

Lead the design, development, and evolution of the company's overseas data warehouse and data platform across mobile device, IoT, and app data domains
Architect and implement scalable data processing systems and analytics applications to transform raw data into actionable insights
Apply advanced data mining, data modeling, natural language processing (NLP), and machine learning techniques to extract value from large-scale structured and unstructured datasets
Design and optimize batch and real-time data pipelines (e.g., Spark, Flink), ensuring high performance, scalability, and reliability
Define and implement data warehouse architecture (ODS, DWD, DWS, ADS layers) and data governance practices (data quality, lineage, metadata)
Drive the development of data products, including dashboards, visualization systems, and dynamic reporting solutions
Partner with business, product, and analytics teams to translate complex requirements into scalable data solutions
Mentor junior engineers and promote best practices in data engineering and analytics

Requirement

Bachelor's degree or above in Computer Science, Data Engineering, or a related field
5+ years of experience in data engineering or data platform development
Strong expertise in big data technologies (e.g., Spark, Flink, Hadoop ecosystem)
Solid experience in data modeling and large-scale data warehouse design
Proficiency in programming languages such as Python, Java, or Scala
Hands-on experience with machine learning, NLP, or advanced analytics workflows is highly preferred
Experience with data visualization tools and building data products (e.g., dashboards, reporting systems)
Strong understanding of both structured and unstructured data processing
Proven ability to optimize large-scale data systems and pipelines
Excellent communication and stakeholder management skills
Experience with global or overseas data environments is a plus. Ability to communicate in Mandarin and English, in order to support coordination and collaboration with Mandarin-speaking stakeholders, teams, and business partners across regional markets.

Data Engineer Senior Level