Data Engineer $2000-$2600

Tầng 31, Keangnam Hanoi Landmark Tower, Nam Tu Liem, Ha Noi
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The Job

Your work will be to design, develop, support and maintain our existing infrastructure and democratizing data access within and outside the company. Your work will support the following areas:

  • Real time streaming infrastructure:
  • Enable teams to move quickly and get accurate information to the right people with minimum delay would be the key focus of the data engineering team
  • Advance our streaming platform which allows easy development of the streaming applications
  • Interactive Data Analytics:
  • Query the data and compute the aggregates on various dimensions to support the various decisions made on the data and machine learning products that are built around it
  • Infrastructure management:
  • Help manage multiple terabyte-scale clusters, easy-to-use systems to handle security and replication are in development
  • Data workflow management:
  • Use Airflow and Azkaban to schedule data related workflows supporting various analytical and machine learning workloads
  • Machine learning infrastructure:
  • Develop the end-to-end platform that will allow us to develop and deploy various machine learning models into the PropertyGuru websites and apps with ease
  • Data engineers play a very big role in this platform development and has the potential to significantly cut down the development time of the machine learning models

Your Skills and Experience

  • 2+ years of industry experience in working with terabyte scale datasets
  • Working knowledge of relational databases and query authoring (SQL)
  • Experience with data workflow management tools Azkaban, Airflow
  • Ability to write high performance quality code
  • Experience in Python is a must. Other equivalent languages like C++, Java, Go, Scala is a plus.
  • Experience with open source technologies like Kafka, Presto and Spark would be a plus
  • Awareness of various cloud-based solutions such as AWS Redshift, Google Big Query, Qubole is a plus
  • Bachelor’s degree in IT or relevant field. Alternatively, lesser qualifications with strong experience in machine learning will also be considered

Why You'll Love Working Here

  • Experienced in large scale distributed system
  • Dynamic and young working environment;
  • Competitive compensation and benefit policies;
  • Dedicated budget for staff training: technical, soft skills, English classes.