Job Description

• 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.

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