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 Databricks, 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 Databricks, Dataflow, Apache Beam, or Spark.
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