Data Engineer

Job Requirements:

• 5–6 years of overall IT experience, with 2+ years of hands-on experience working with Neo4j,Cypher query language, and Graph Data Science (GDS) library.
• Strong proficiency in Python for ETL pipelines, data processing, and integration with Neo4j GDS workflows.
• Solid understanding of graph database concepts,including data modelling, indexing, query optimisation, and performance tuning.
• Experience applying GDS algorithms such as Community Detection (Louvain, Label Propagation), Link Prediction, Node Embeddings (Node2Vec, GraphSAGE), and Centrality measures.
• Familiarity with Neo4j Bloom or similar graph visualisation tools for building investigative dashboards.
• Experience with other graph databases (e.g.,Amazon Neptune, TigerGraph, JanusGraph).
• Knowledge of machine learning frameworks (e.g.,scikit-learn, TensorFlow, PyTorch) and integrating ML models with graph analytics.
• Familiarity with cloud platforms (AWS, Azure, GCP) and deploying Neo4j in cloud environments.
• Understanding of data streaming technologies (Kafka,Kinesis) for real-time fraud detection pipelines.
• Experience with CI/CD pipelines, Infrastructure as Code(Terraform, CloudFormation), and DevOps practices.
• Neo4j Certified Professional or Graph Data Science certification is a plus.

Interested candidates may apply directly to Patrina@eps.com.sg for immediate processing.