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Big Data Engineer - Cloud

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Onsite

Big Data Engineer - Cloud

Huawei Technologies (Malaysia) Sdn. Bhd

Big Data Engineer - Cloud

Skills

SQL QueriesBig DataKafkaElasticsearchHadoop

2 months ago

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Important information


Contract type:

Freelance / Contract

Salary:

MYR 96,000 – MYR 144,000 / year

Location:

Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia

Work mode:

Onsite

Published on:

28 August 2026

What they need


  1. Conduct in-depth analysis of usage scenarios and requirements for Huawei Cloud big data service products (e.g., MRS, DWS, DataArts Studio, ElasticSearch, etc.).
  2. Responsible for delivering Huawei Cloud's key global big data projects, including data migration based on Huawei Cloud big data service products, design of delivery implementation plans, and technical management of delivery projects.
  3. Provide technical support to Huawei Cloud customers, ensuring stable operation of customer services on Huawei Cloud and resolving issues encountered by customers during usage.
  4. Troubleshoot big data service product failures in various scenarios, communicate solutions with customers, and track the effectiveness of solution implementation.

Job Requirement:

  1. Proven experience in technical project management for big data or data warehouse projects in the ICT or cloud computing industry, with preference for those with migration project experience.
  2. At least 3 years of project experience working with big data platforms.
  3. At least 3 years of project experience working with mainstream on-premises big data platforms.
  4. Familiarity with big data technologies such as Hadoop, MapReduce, Kafka, HBase, Spark, Data Lake Insights, etc.
  5. Experience in cloud development, delivery, or operations and maintenance. Cloud industry background is preferred.
  6. Holding HCIA/HCIP/HCIE certification in cloud computing or equivalent industry certifications is preferred.
  7. Strong teamwork, organization, and coordination skills.

Skill Requirements:

  1. Proficiency in SQL development and Shell development.
  2. Mastery of at least one industry-popular ETL tool.
  3. Ability to perform big data or database performance tuning.

Preferred Conditions:

  1. At least 3 years of experience delivering big data or data warehouse projects on hybrid or public cloud.

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