Related skills
etl python kafka neo4j cypherπ Description
- Architecting Graph ETL for robust graph ingestion pipelines.
- Data Ingestion at Scale with Kafka and CDC patterns.
- Automated Graph Hygiene: deduplication, orphan node checks.
- Modeling Time: handle temporal relationships in the graph.
- Performance Tuning: optimize indexes and storage for growth.
π― Requirements
- Neo4j Expertise (Must Have): 4+ years hands-on experience.
- ETL & Pipeline Mastery: build data pipelines for graph ingestion.
- Streaming & CDC: familiarity with Kafka and CDC methods.
- Python Proficiency: strong Python for ingestion scripts and graph algorithms.
- Data Integrity Focus: entity resolution, deduplication, QA.
- Nice-to-Have: C# knowledge to read/ contribute.
- Domain Experience: finance or real estate sectors.
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