
Principal Data Solutions Architect
Systems on Silicon Manufacturing
- Singapore
- Permanent
- Full-time
- Design and architect scalable data lakehouse and data warehouse solutions.
- Implement and manage data storage formats and table formats using Apache Iceberg and Apache Hudi.
- Integrate and optimize Hadoop-based data processing pipelines.
- Deploy and manage MinIO for object storage on premise or cloud-native environments.
- Collaborate with data engineers, analysts, and business stakeholders to define data models and governance strategies.
- Ensure data quality, lineage, and security across the data lifecycle.
- Evaluate and recommend emerging technologies and tools in the data ecosystem.
- Collaborate with cross-functional teams to understand requirements and provide technical guidance.
- Implement Service Request related to internal applications
- Provide support for Internal IT department and External customers
- Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field.
- Minimum 5 years good experiences
- Deep understanding of Apache Iceberg and Apache Hudi for managing large-scale datasets.
- Hands-on experience with Hadoop ecosystem (HDFS, YARN, Hive, Spark, etc.).
- Proficiency in deploying and managing MinIO for high-performance object storage. Excellent troubleshooting skills.
- Strong knowledge of data modeling, ETL/ELT processes, and data governance.
- Familiarity with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes) is a plus.
- Excellent problem-solving, communication, and collaboration skills.
- Working knowledge of semiconductor industry
- Experience with BI reporting such as tableau or PowerBI or equivalent will be advantageous
- Good team player with pro-activeness and good initiatives Must be able to work independently.
- Good communication and interpersonal skill.
Type of Employment : Contract
Minimum Experience : 5 Years
Work Location : Singapore