
AI Platform Data Expert
4 days ago
About the Job
We are seeking a highly skilled Data Architect to design and develop our AI platform. The ideal candidate will have a strong background in data engineering and experience with large-scale data processing solutions.
Responsibilities:
- Design and implement 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.
Requirements:
- Bachelor's 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.
Benefits:
- 5 days in office.
- 1 round of interview.
To Apply:
Please use the 'apply' function or contact Stella at EA: 94C3609 /R
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