Senior Data Engineer (Multimodal Data and Entity Modelling)
- Рівень:
- senior
- Джерело:
- djinni.co
Що робити
- Multimodal Data & Entity Modelling
- Extract entities and relationships from text, social media, geospatial, and time-series data, and model them across map, graph, and temporal representations.
- Evolve our knowledge graph layer and make connected data usable for analytics, visualisation, and AI agents.
- Evaluate and prototype technologies for geospatial and graph workloads at scale
- Core Data Platform
Що очікуємо
- Hands-on experience building data systems for geospatial data, graph data, or knowledge graphs, ideally combining several data types.
- Experience with GIS tooling (e.g. PostGIS), graph databases (e.g. Neo4j, TigerGraph), or modelling graph data on relational or columnar storage.
- Strong architectural thinking and the ability to justify technology choices, run experiments, and change course based on results.
- Proven experience moving and processing data at large scale, with resumable, idempotent, and memory-safe pipelines.
- Experience working with data infrastructure beneath the managed layer, not only inside a ready-made SaaS platform.
Що пропонуємо
- Production experience with a columnar or MPP engine such as StarRocks, Doris, ClickHouse, BigQuery, or Snowflake, including partitioning, distribution, and indexing.
- Experience with Elasticsearch or OpenSearch at scale, including mappings, ILM, tiering, and reindexing.
- Experience with a long-running migration involving dual-write, reconciliation, and cutover.
- Knowledge of PostgreSQL internals.
- Experience with event-driven ingestion using Kafka or RabbitMQ.
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