Data Engineer Senior Level
Posted Updated 2
views
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.
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.