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Data Engineer

  • Location: Singapore
  • Salary: Negotiable per year
  • Job Type:Permanent

Posted over 4 years ago

Data Engineer

Responsibilities:

  • End-to-end support of large-scale complex data platform using Big Data technologies from design to deployment to debugging
  • Create and maintain data pipeline architecture, supporting optimization and improvement
  • Support infrastructure for greater scalability and stability
  • Develop supporting resources and tools to ensure effective management and operation of Big Data architecture on-premise, cloud and/or hybrid infrastructure
  • Liaise with both internal and external stakeholders in driving greater functionality for Data systems
  • Support Data initiatives with Data Scientists and Analytics team, as well as Database engineering teams in business solutions

Requirements:

  • Relevant qualifications in Computer Science, IT or related disciplines with at least 5 years of experience in Data Engineering
  • Strong programming skills eg. Python, Java, C++, etc
  • Well versed in SQL and proven track record in working with structured and non-structured data and databases.
  • Experience on Big Data Technologies: Apache Spark, Kafka, Hive, HBase, etc
  • Working knowlegde in Azure
  • Strong interpersonal skills
  • Ability to work independently and as a team

Interested candidates are highly encouraged to apply!

Please send your updated CV to alim@argyllscott.sg.
Thank you!

Ashley Lim May Ping
R1106979

EA Registration Number: R1106979
Argyll Scott Singapore Pte Ltd. EA Licence Number: 16S8105