Canopy
PALO IT (HK)

PALO IT - Data Engineer

Mid Level
Hong Kong
Data Engineer
Back to Jobs

About Us

PALO IT is an innovation & agile development company. From Design Research to DevOps, we are in the business of end-to-end development of breakthrough digital experiences. As a community of innovators and developers, we also aim at renewing the way organizations operate, promoting sustainable business agility, user-centricity and open collaboration while having fun doing it.

Who we're looking for

The Data Engineer will work on acquiring, storing, governing and processing huge sets of structured / unstructured data. You will bring a vision of the big data solutions landscape for choosing optimal architecture components to use for these purposes as well as a set of data engineering skills for implementing enterprise data foundations such as data lake. Finally, you will work closely with other PALO IT experts in Data Intelligence, Research, UX Design, Digital Technology and Agile teams to enable intelligence in the digital mesh of our clients and deliver big impact to them.

You will be invited to take part in R&D works done within our Practices. You will have the chance to assist or be a speaker at must-attend international IT conferences. You will have the opportunity to write articles for our Blog or specialized press. Genuine ambassador of Palo IT, you will present our offers and take and active role in the development of the company.

What you will be doing
  • Identify and implement big data frameworks / components that best fit to required capabilities
  • Gather and process data at scale, tackling challenges coming from unstructured data, real-time processing, data quality etc
  • Enable data management capabilities to govern enterprise data / metadata and provide easy and secured access to them
  • Support the definition and optimization of underlying data infrastructure
Who you are
  • Good knowledge of the big data technology landscape and concepts related to distributed storage/computing
  • Experience with big data frameworks (e.g. Hadoop, Spark) and distributions (Cloudera, MapR)
  • Experience with batch & ETL jobs to ingest and process data from multiple data sources
  • Experience with NoSQL & Graph databases, Search Engines (e.g. Cassandra, MongoDB, Neo4J, ElasticSearch)
  • Experience with querying tools (e.g Hive, Spark SQL, Impala)
  • Experience or willingness to go in real-time stream processing, using solutions such as Kafka, AWS Kinesis, Flume, and/or Spark Streaming
  • Experience or willingness to learn about DevOps and DataOps principles (e.g Infrastructure as Code, automating different parts of the data pipeline)
  • High-level understanding of Data Science concepts and methodologies (how models are built, trained, and deployed)
  • You are passionate about technology and continuous learning comes naturally to you
What we offer
  • Stimulating working environments
  • Unique career path
  • International mobility  
  • Internal R&D projects
  • Knowledge sharing
  • Personalized training
  • Entrepreneurship & intrapreneurship

Sign in to Happyer

Help us Complete Your Profile

What's your full name?

What's your current position?

Please fill in all name and position fields.
Next

What is your current status

What is your career goal?

You can choose more than one goal

Learn new skills
Make a major career switch
Land a (new) job
Not totally sure...

Receive job alert emails

Please select your status and at least one career goal.
Next

Where would you like to work?

You can choose more than one location

I want to work in

What are you looking for next?

It’s okay if you’re not sure. We got you covered no matter what.

Please select at least one location, pick your experience level, and your career path in order to continue.
Next
Success! Your application is on it's way
.

We've sent a notification to the hiring manager with your profile details and resume.

Back to Job

Choose your "Quick Apply" resume

Be sure to complete your profile for best results. This is the final step of your application.

PDF, Doc, or Docx. 10MB maximum.
Confirm Application

"Quick Apply" or use a custom resume?

Quick ApplyCustom Resume
The Great Room, 23/F One Taikoo Place, 979 King’s Road, Quarry Bay
Interested in working at
PALO IT (HK)
?

Related Positions

WeLab (HK)

WeLab - Site Reliability Engineer - WeLend

Site Reliability Engineer - WeLend
Hong Kong
Lora Technologies Limited (HK)

Lora Technologies (HK) - Data Engineer

Data Engineer
Hong Kong
Measurable AI (HK)

Measurable AI (HK) - Senior Data Engineer

Web Frontend Engineer
Hong Kong