Data Platform Engineer

3 days ago

Kuala Lumpur, Kuala Lumpur, Malaysia iSoftStone Full time 80,000 - 120,000 per year

About Us:

A leading global technology group, renowned for its extensive ecosystem of digital services and platforms. With a strong presence in cloud computing, mobile gaming, social media, and enterprise solutions, the organization supports millions of users and businesses worldwide. It emphasizes innovation, scalability, and security, making it a key player in driving digital transformation across various industries.

Responsibilities

  • Design, build, and maintain scalable ETL and data processing pipelines;

  • Develop high-performance backend services to support data platforms and business applications;

  • Work with large-scale batch and real-time processing frameworks such as Spark and Flink;

  • Optimize job performance, improve data stability, and ensure SLA compliance;

  • Collaborate with product, analytics, and platform teams to deliver reliable data services;

  • Contribute to data governance, quality monitoring, and best practice standardization.

Qualifications

  • Bachelor's degree or above in Computer Science, Software Engineering, Data Science, or a related field;
  • Strong programming skills in both Python and Java
    , with solid engineering fundamentals;
  • Proficient in SQL, and familiar with data modeling and query optimization;
  • Hands-on experience with either one of the big data frameworks (Spark, Flink, Hadoop, Kafka, etc.);
  • Understanding of distributed systems, performance tuning, and workflow orchestration;
  • Excellent problem-solving, communication, and collaboration skills;
  • Ability to work independently and drive projects from design to deployment.
  • Preferred Experience
  • Familiarity with either one of the modern data engines (e.g., StarRocks, Iceberg, Hive, ClickHouse);
  • Experience with real-time data warehouses, data platforms, or data service APIs;
  • Exposure to cloud platforms (AWS, GCP, AliCloud) or container orchestration (Docker, Kubernetes);
  • Involvement in metric systems, monitoring dashboards, or internal service frameworks.
  • Proficient in both English & Mandarin (Chinese) languages
    as this position works in a globally team.

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