PALO IT - Data Engineer

Mid Level
Hong Kong
Data Engineer
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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

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