Minimum Qualifications

• Language: Mandarin B2 (CEFR) or equivalent proficiency is a must; able to pass Versant benchmarks.
• English: professional working proficiency; confident written and verbal communication with global stakeholders.
• Technical Support Experience: Demonstrated success in L2/L3 support for cloud/data platforms, including incident ownership, RCA delivery, and cross‑functional collaboration.
• Troubleshooting & Analysis: Strong diagnostic skills (logs, metrics, tracing, performance analysis) and ability to translate findings into customer‑friendly RCA.
• 2-6 years of experience on google cloud or any cloud platform such as AWS or Azure

Preferred Skills & Product Certifications

Data Analytics — BigQuery Pod

• BigQuery
• Data Catalog
• Dataform
• Earth Engine

Dataflow & Pub/Sub Pod (SnL)

• Dataflow
• Pub/Sub
• Pub/Sub Lite
• Apache Flink for BigQuery
• Apache Kafka for BigQuery
• Dataprep

Telecom Subscriber Insights (Subgraph)

• Telecom data domain understanding; subscriber graph/subgraph concepts

Dataproc & Data Fusion Pod (SnL)

• Dataproc
• Dataproc Metastore
• Data Fusion
• Databricks
• Dataplex

Composer Pod (SnL)

• Cloud Composer (Airflow)

Certifications (nice‑to‑have):

• Google Cloud Professional Data Engineer, Professional Cloud Developer, Professional Cloud Architect (or relevant product certifications across the pods above).
• Related data engineering/streaming certifications (Apache Flink/Kafka), and vendor‑specific badges (Databricks, Airflow).

Working Conditions

• Standard business hours in MYT (GMT+8) with flexibility for on‑call rotations or priority escalations when required.
• Hybrid/onsite arrangements per program policy.

Kuala Lumpur

Requesting an Accommodation

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