Senior AI Data Engineer
Tasks
- Build streaming and event driven pipelines
- Collaborate with AI scientists and engineers on data requirements
- Create storage and retrieval systems for vector embeddings and knowledge graphs
- Design and implement resilient data architectures for AI workflows
- Design and maintain scalable data models
- Design, develop, and maintain scalable data pipelines and ETL processes
- Develop high performance data pipelines using orchestration frameworks
- Drive data platform reliability scalability and cost optimization
- Establish observability and monitoring frameworks
- Implement automated data validation and quality checks
- Implement data governance and security measures
- Implement data partitioning indexing and storage optimization
- Monitor and troubleshoot data pipeline issues
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Airflow | Apache Flink | Apache Kafka | Apache Spark | Azure | Dask | Data Lakehouse | Docker | GCP | Infrastructure as Code | Kubernetes | NoSQL | Python | Ray | SQL | Scala | Terraform | Vector Database | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Data Engineer | Data Engineer | Engineer | Senior Data Engineer
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