全职 Big Data Engineer (Operations / Development) 工作, 薪水 up to MYR 8,000, GSR Solution Malaysia Sdn. Bhd. WP Kuala Lumpur 公司招聘中 - Ricebowl

Big Data Development Engineer

• Bachelor's degree or above in Computer Science or a related field.

• 2+ years of big data development experience; led 50TB+ data platform construction or core module refactoring projects.

• Must-have: Proficient in Hadoop/Spark/Flink ecosystem; familiar with Kafka/Pulsar streaming architecture; proficient in SQL/Hive/Python/Java/Scala; experienced in Doris/StarRocks tuning.

• Nice-to-have: Distributed system tuning (Spark Shuffle, Flink backpressure); data lake technologies (Iceberg/Delta Lake/Paimon); cloud-native big data (EMR/CDH operations, K8s scheduling).

• Familiar with full-chain data scenarios in at least one vertical domain (logistics, e-commerce, telecommunications).

• Able to translate business requirements into actionable data solutions.

Big Data Operations Engineer

• Bachelor's degree or above in Computer Science or a related field.

• 2+ years of relevant experience; proficient in Linux principles, systems, and applications.

• Deep understanding of mainstream big data open-source systems (Hadoop, Kafka, StarRocks, Flink, ClickHouse) — architecture, configuration, optimisation, deployment, and troubleshooting.

• Proficient in at least one programming language: Python / Rust / Golang / Java, with Linux/Unix development experience.

• Familiar with Alibaba Cloud big data products, especially StarRocks and Flink monitoring, scheduling, and troubleshooting.

• Experience with Hadoop/Hive/Spark/Flink/HBase/Presto/ClickHouse operations is preferred.

• Data governance experience is a plus; strong sense of responsibility and excellent communication skills.

Big Data Development Engineer

• Participate in the design and implementation of highly available, scalable big data architectures (Lambda/Kappa).

• Optimise large-scale data processing performance (e.g., Spark tuning, Flink state backend optimisation).

• Independently develop big data platform modules and resolve technical challenges in data pipelines.

• Collaborate with data analysts and algorithm teams to provide efficient data interfaces and tooling.

• Lead or participate in technical solution design, produce development documentation, and drive implementation.

Big Data Operations Engineer

• Manage and develop automation tools for operations and deployment.

• Handle requirements analysis, product design, coding, deployment, and maintenance for the data operations platform and its components.

• Ensure data quality across collection and processing pipelines.

• Manage daily operations, deploy and optimise production servers, and maintain technical documentation.

• Annual Leave
• Annual Bonus
• Medical Insurance
• Training Provided
• 5 Working Days
• EPF
• SOCSO
• Medical and Hospitalisation Leave