Data Engineer Senior Level

职位描述:

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

职位要求:

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.