Senior data engineer

1 M records/day)
● Deep understanding of data modeling (dimensional, normalized, denormalized)
● Experience with cloud data warehouses (Big Query, Redshift, or Snowflake)
● Strong knowledge of data quality, validation, and governance
● Excellent debugging and optimization skills
Highly Desirable
● Experience with vector databases (Milvus, Pinecone, Weaviate, Qdrant)
● Experience with graph databases (Neo4j, Arango DB, Neptune)
● Knowledge of embedding models and semantic search
● Experience with ML data pipelines (feature stores, model training data)
● Understanding of A/B testing and experimental design
● Experience with real-time streaming (Kafka, Pub/Sub, Kinesis)
● Knowledge of LLMs and conversational AI systems
● Experience with data migration projects (especially large-scale)
● Background in marketing technology or customer data platforms
Nice-to-Have
● Experience with Py Torch Geometric or graph neural networks
● Knowledge of ma...