Canopy
Integrated Management Systems (HK)

Integrated Management Systems - Senior/ Data Engineer

Senior Level
Hong Kong
Senior/ Data Engineer
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About Us

MS (Integrated Management Systems) is a leading digital transformation agency, with three distinguished divisions united around one shared standard of excellence.

Our Digital Marketing arm that is at the forefront of some of Asia’s most high-profile marketing projects.

Our Software Development arm that leads the way in industry innovation.

Our Digital Ventures arm where we incubate ventures and transform start-ups to multi-million success stories.

Who we're looking for

We are seeking a highly technical and experienced Senior Data Engineer to be a part of the development of next-generation enterprise big data platform. Qualified candidates must be well-versed in building Big Data analytical platforms using containerization, cloud technologies and Big Data parallel processing technologies as well as the advantages, disadvantages, and trade-offs of various architecture approaches.

In addition, the successful candidate should have knowledge and architecture experience with Data Science tools and libraries, Modeling, Machine Learning, Streaming Data and Enterprise Data Warehousing.

This candidate must be familiar with agile methods and related SDLC tools. This is a very technical and challenging position with accountability for an overall product portfolio’s performance and quality.

He/she will have opportunities to work on world class product development projects with state-of-the-art AI, Blockchain Big Data and Cyber Security technologies.

All projects would be supported by domain experts (such as AI, Blockchain, Big Data and Cyber Security)

What you will be doing
  • Develop technical architecture for enabling Analytics and Data Science using industry best practices for large scale processing.
  • Initiate and deliver technology evaluations and recommendations especially in Big Data/Data Science space.
  • Ensure the data architecture is optimized for large dataset acquisition, analysis, storage, cleansing, transformation, and reclamation.
  • Develop standards and methodologies for benchmarking, performance, evaluation, testing, data security and data privacy.
  • Provide recommendations, technical direction and leadership for Hadoop, Spark, NoSQL, and container technologies as part of the overall architecture.
  • Contribute to the development, review, and maintenance of requirements documents, technical design documents and functional specifications.
Who are you
  • Computer Science/Software Engineering (or related) degree
  • 6-8 years’ experience as development lead in data analytics, data science or platform development directly working with technologies such Hadoop, Hive, Spark, HBase, Impala, Kafka, Tez, Ranger, Presto
  • Extensive experience designing and implementing complex solutions for distributed systems
  • Working knowledge of Cloud and containerization technologies: AWS, Azure, Kubernetes, and Docker
What we offer
  • Collaborative work in an exciting and agile environment
  • Spacious high-end offices
  • Semi-private gym in the office
  • Attractive monetary and experiential rewards
  • Fully stocked pantry with fresh fruits, snacks and beverages
  • Fun social events on every Friday and other engaging team activities
  • Multicultural and international teams  
  • Medical and dental coverage
We offer competitive remuneration including career prospects to the right candidate. Interested parties, please send detailed resume with availability, current and expected salaries and send to hr@imanagesystems.com.
All Personal data collected will be treated in strict confidence and used for recruitment purpose only.

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