Position Details
About this role
This role involves designing and implementing high-performance data pipelines for AI and analytics, focusing on large-scale data ingestion, transformation, and operationalization of AI models.
Key Responsibilities
- Build AI-ready data pipelines
- Model data relationships
- Operationalize anomaly detection
- Enable LLM/SLM use cases
- Deliver batch and streaming pipelines
Technical Overview
The technical environment includes Apache Iceberg, Spark, Linux, and AI/ML workflows, with an emphasis on scalable, reliable, and real-time data processing pipelines.
Ideal Candidate
The ideal candidate is a data engineer with experience in building scalable data pipelines using Apache Iceberg and Spark, with a strong understanding of AI/ML workflows, data governance, and model operationalization.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Clearance & Visa
Keywords for Your Resume
Deal Breakers
Lack of experience with Apache Iceberg, No experience with Spark or similar engines, No background in data engineering or pipelines
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