06 Aug
|
Ampstek
|
Brampton
Skillset Requirements
- ETL & Data Modeling: Designing pipelines for structured/unstructured data, normalization, deduplication, and semantic consistency.
- Vector Databases: pgvector, Redis, Azure AI Search, hybrid search, and index optimization.
- Distributed Data Systems: Kafka, Spark, Flink, or similar event-driven architectures.
- Data Governance: Zero-trust access, privacy controls, compliance, and auditability.
- Real-time Embedding Updates: Event-driven refresh pipelines for RAG and agent memory systems.
- Chunking & Embeddings: Semantic chunking, metadata tagging, and embedding model selection.
- Search Infrastructure: BM25, hybrid search, inverted indexes, and ranking algorithms.
- Performance Tuning: High-throughput read/write optimization.
- Data Quality & Lineage: Validation, schema enforcement, and lineage tracking (e.g., Outstanding Expectations, OpenLineage).
📌 Data Engineer (Canadian Citizen or PR) (Brampton)
🏢 Ampstek
📍 Brampton