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
● Exper...