Dexian LTD. - Westlake, TX

posted 4 months ago

Full-time - Mid Level
Westlake, TX
10,001+ employees

About the position

As a Graph DB/ML Engineer at Dexian, you will play a pivotal role in designing and implementing graph data models that effectively capture complex relationships within data. Your expertise will ensure that querying and traversal of these models are efficient, enabling the organization to leverage data in innovative ways. You will be responsible for integrating graph data from various internal and external sources, which will require a strong understanding of graph database query languages such as SPARQL, Gremlin, and Cypher. Your proficiency in graph databases like Graphdb, Neo4j, Amazon Neptune, and JanusGraph will be essential in managing these databases effectively. In addition to your database management skills, you will work with graph algorithms and graph-based machine learning, contributing to the development of applications using Python. Your experience with AWS infrastructure, including S3, CFTs, and EC2, will be crucial as you navigate security and data pipelines involving technologies like RDS/Postgres, Snowflake, and Airflow. You will also engage in the model development and deployment lifecycle using MLOps in the Cloud, preferably within AWS environments. Your superior SQL skills will aid in developing data transformation pipelines across multiple database platforms, ensuring that data is processed and utilized optimally. This position requires a Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field, along with a passion for data and technology. You should be motivated, a quick learner, and possess an analytical mindset that allows you to ask insightful questions to clarify requirements and technical implementation options. Excellent verbal and written communication skills are essential for collaborating with team members and stakeholders.

Responsibilities

  • Design and implement graph data models that capture complex relationships.
  • Ensure efficient querying and traversal of graph data models.
  • Integrate graph data from various internal and external sources.
  • Manage graph databases effectively using tools like Graphdb, Neo4j, Amazon Neptune, and JanusGraph.
  • Develop applications using Python that leverage graph data.
  • Work with graph algorithms and graph-based machine learning.
  • Utilize AWS infrastructure (S3, CFTs, EC2) for data and AI pipeline technologies.
  • Engage in the model development and deployment lifecycle using MLOps in the Cloud.
  • Develop data transformation pipelines across multiple database platforms.

Requirements

  • Experience in designing and implementing graph data models.
  • Proficiency in graph databases such as Graphdb, Neo4j, Amazon Neptune, JanusGraph.
  • Hands-on experience with LPG/RDF.
  • Experience with graph algorithms and graph-based machine learning.
  • Experience with AWS infrastructure (S3, CFTs, EC2).
  • Superior SQL skills and experience developing data transformation pipelines.
  • Bachelor's or master's degree in computer science, Data Science, or related field.

Nice-to-haves

  • Experience with graph database query languages (e.g., SPARQL, Gremlin, Cypher).
  • Interest in AI/ML and/or consumer experience and healthcare technology.
  • Analytical and consulting mentality.
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