Data Engineer(Senior Level)(A197277A)

re-zoo-me; Singapore; Hybrid; SGD 120,000 - 180,000; Full time

Job summary

re-zoo-me is seeking an experienced Senior Data Engineer to lead the overseas data warehouse and data platform development across mobile, IoT, and app domains.

You will architect scalable data processing systems, apply NLP/ML techniques, and build data products including dashboards and reporting solutions, while mentoring junior engineers and ensuring data governance across regional markets.

Qualifications

• Bachelors 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; overseas data experience a plus, Mandarin/English capable.

Responsibilities

• Lead the design, development, and evolution of the companys overseas data warehouse and data platform across mobile, IoT, and app data domains.
• Architect and implement scalable data processing systems and analytics applications to transform raw data into actionable insights.
• Apply NLP, ML techniques to extract value from large-scale structured and unstructured datasets.
• Design and optimize batch and real-time data pipelines (e.g., Spark, Flink) for high performance and reliability.
• Define and implement data warehouse architecture and data governance practices (data quality, lineage, metadata).
• Drive the development of data products, dashboards, visualization systems, and dynamic reporting solutions.
• Partner with business, product, and analytics teams to translate requirements into scalable data solutions.
• Mentor junior engineers and promote best practices in data engineering and analytics.

Skills

Spark

Flink

Hadoop

Data modeling

Python

Java

Scala

NLP

Machine learning

Data visualization

Dashboards

Communication

Education

Bachelors degree

Tools

Spark

Job description

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.