Job Description: Pay Range: $65hr - $70hr
- 8+ years expertise as a backend/data engineer building graphs systems and graph databases.
- 5+ years expertise with machine learning and/or natural language processing.
- Degree in Computer Science, Machine Learning, Data Science or related field, with expertise in knowledge representation.
- Strong proficiency in graph theory, graph algorithms, and graph databases (e.g., Neo4j, TigerGraph,), coupled with extensive knowledge of vector databases (OpenSearch, Milvus, ...).
- Proficient in Data bricks, Python, Pyspark, Scala for developing and maintaining data engineering pipelines, with expertise in Apache Spark, Flink, and containerization.
- Experienced in cloud platforms (AWS, Azure, Google Cloud) and skilled in working with various databases and data warehouses for efficient data processing and storage.
- Expertise working with graph data models databases (Neo4J, TigerGraph), or graph query languages (Gremlin, SPARQL, Cypher).
- Expertise architecting, designing and building data pipelines and acquiring data needed to build and evaluate models, using tools like Data bricks, Dataflow, Apache Beam, or Spark.