Platform Engineer – Big Data

5 days ago

Singapore UARROW PTE. LTD. Full time $104,000 - $130,878 per year

  • Design, implement, and manage big data platforms built on Hadoop, Spark, and Hive.

  • Develop and optimize data ingestion, transformation, and storage frameworks for high-volume, high-velocity datasets.

  • Maintain and fine-tune Hadoop clusters (HDFS, YARN) including capacity planning, monitoring, and troubleshooting.

  • Build and support Hive-based data warehouses for analytics, including schema design, partitioning, and performance optimization.

  • Optimize Spark jobs for batch and streaming use cases (memory management, shuffle tuning, query optimization).

  • Implement data security and governance policies (Kerberos, Ranger, Atlas) to ensure compliance and controlled access.

  • Collaborate with data engineers, architects, and analysts to deliver robust and efficient platform capabilities.

  • Drive automation in cluster operations, deployments, and monitoring using scripting and DevOps tools.

Skills

  • Experience in data engineering or platform engineering with strong focus on big data ecosystems.

  • Deep expertise in Hadoop (HDFS, YARN) cluster management and optimization.

  • Strong hands-on experience in Spark (batch + streaming) and Hive data modeling.

  • Experience in performance tuning, query optimization, and cluster troubleshooting.

  • Familiarity with distributed system internals, resource management, and fault tolerance.

  • Knowledge of cloud big data platforms (AWS EMR, Azure HDInsight, GCP Dataproc) is a plus.

  • Exposure to automation frameworks (Ansible, Terraform, Airflow, CI/CD pipelines) is preferred.

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