Chief Data Architect
2 days ago
At SID Global Solutions APAC, we're looking for a seasoned data expert to join our team.
Job DescriptionThe Senior Data Engineer will be responsible for designing and implementing complex data infrastructure to support business intelligence and advanced analytics.
This role requires expertise in distributed data processing frameworks like Spark, Kafka, or Hadoop, as well as advanced knowledge of cloud data ecosystems (AWS, GCP, Azure).
- Key Responsibilities:
- Architect highly scalable data pipelines and warehouse solutions
- Troubleshoot and resolve Level 3 (L3) tickets related to distributed computing, cloud infrastructure, and data processing bottlenecks
- Lead data engineering projects from design to deployment, ensuring high availability and performance
- Collaborate with data scientists and machine learning engineers to enable AI/ML use cases
To succeed in this role, you'll need a Master's degree in Computer Science, Engineering, or a related field, along with at least 12 years of experience in data engineering, big data, or cloud infrastructure.
- Must-haves:
- Expertise in distributed data processing frameworks like Spark, Kafka, or Hadoop
- Advanced knowledge of cloud data ecosystems (AWS, GCP, Azure)
- Strong proficiency in Python, Scala, or Java for data processing
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