Arical (HK)

Arical - Data Engineer

Mid Level
Hong Kong
Data Engineer
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About Us

We extract location insights and provide actionable location-based recommendations to our clients, from major property agencies, developers, investment funds, retailers, marketing agencies to NGOs.

Who we're looking for

We are looking for a motivated Data Engineer to handle location data (data with address or latitude and longitude as features) from various sources.

What you will be doing in this role
  • Assemble large, complex data sets that meet functional / non-functional business requirements
  • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability
  • Build the infrastructure required for optimal extraction, transformation, and loading of data using MongoDB, SQL and AWS technologies
  • Perform extensive EDA with location data
  • Data cleansing
  • Feature engineering
  • Expand and optimize data sources
  • Optimize data pipeline architecture and data flow
  • Fast Machine Learning models benchmarking
  • Maintain good data format
  • Support software developers, database architects, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects
Who you are
  • University degree or above in Computer Science / Computer Engineering / Electrical or Electronic Engineering
  • Graduated from local universities
  • Product development/ Scalable software development experience would be nice
  • Proficiency with Python
  • Working SQL knowledge and experience working with relational databases, query authoring (SQL) and MongoDB
  • Knowledge and experience of big data tools: Hadoop, Spark, Kafka, etc.
  • Knowledge and experience with relational SQL and NoSQL databases, including Postgres and Cassandra
  • Knowledge and experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
  • Experience with AWS cloud services: EC2, EMR, RDS, Redshift
  • Experience with stream processing systems: Storm, Spark Streaming, etc.

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10 Science Park West Avenue, Hong Kong Science Park
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Arical (HK)

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