Job ref no.: CT3129593-01#3206

Big Data Developer

Johnson Electric Industrial Manufactory Limited

Position Summary:

The successful candidate will be responsible for development of big data platforms and applications to support the company in its digital transformation roadmap. This candidate will work with a team of big data specialists to deliver platforms and solutions like engineering analytics, production data lake, KPI Kanban, etc. The main tasks include data solution design, data platform implementation, and application solution delivery. The successful candidate must stay current to the latest big data technologies, like Hadoop, Spark, Python, ELT and familiar with major Cloud platforms like Azure.


  • Understand business objectives, analyze available data and propose practical big data solutions
  • Participate in solution design together with the project teams. Work with data scientists, application architects and data engineers to design and evaluate solution and technologies. Create proof-of-concept deliverables
  • Perform program code development & testing, in accordance with the defined development cycle, coding standard and version control
  • Prepare technical documentation, e.g. technical specification and migration documentation
  • Provide support to team and users during testing and post-implementation stage


  • Solid 2-5 years development experience on data processing (ELT) & data engineering solutions
  • Strong technical skills on data processing tools including Talend, StreamSet and Spark
  • Familiar with both structure and unstructured data format and storage
  • Hands on experience with Data Lake technologies based on HDFS, Impala/Hive and Cloud platforms like Azure ADLS etc.
  • Knowledge in IoT, edge computing, machine learning, preferred in industrial domain
  • Programming skills in Java, Python, SQL and Scala
  • Good spoken English, proficient in writing
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More job information
Job ref no. CT3129593-01#3206
Job Function
  • Tai Po
Employment Term
  • Permanent
  • Full-time
  • 1 year
Career Level
  • Entry level
  • Degree
  • 5-day week
  • Discretionary bonus
  • Insurance plan
  • Medical plan
  • Shuttle bus