about company
I am currently working with a well-known telecommunications company in Singapore.
Senior level - min 5 years; up to 11k + bonus.
Junior level - min 2 years; up to 6500 + bonus.
5 days in office. 1 round of interview.
about job
- Building AI platform for the company use
- Develop and deploy data architectures optimized for AI, ensuring seamless access to information from diverse sources
- Create, maintain, and manage a data virtualization layer to reduce data movement, enhance transparency, and strengthen control mechanisms.
- Work closely with platform engineering, analytics, and governance teams to produce secure, high-quality, and thoroughly documented data deliverables.
skills and requirements
- Bachelor degree in computer science, or a related field
- Solid background in managing end-to-end data engineering projects, from design to delivery.
- Expert user of Spark, Databricks, and other large-scale data processing solutions.
- Well-versed in real-time streaming tools such as Apache Kafka, Apache Flink, and Azure Event Hub.
- Practical experience with modern data storage approaches, including data lakes and lakehouses built on Hadoop, Delta Lake, Iceberg, or Microsoft OneLake.
- Comfortable working with data virtualization platforms to connect and manage information from multiple, varied sources.
- Strong coding skills in Python and SQL for data transformation, automation, and analysis.
- Familiar with workflow orchestration tools (like Apache Airflow) and DevOps practices, including CI/CD pipelines, containerization (Docker), and Kubernetes.
To apply online please use the 'apply' function, alternatively you may contact Stella at 96554170 (EA: 94C3609 /R1875382)
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