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3 days ago
We are seeking a seasoned data expert to spearhead our graph database initiatives. This role requires a high level of technical expertise in designing, implementing, and maintaining ETL pipelines for graph-based structures.
The ideal candidate will possess a strong background in data engineering, graph querying languages, and data modeling. Proficiency in cutting-edge technologies such as vector databases and LLMs is highly desirable.
Key Responsibilities- Data Engineering: Design, implement, and maintain ETL pipelines for graph-based structures.
- Graph Querying Languages: Develop and optimize graph database solutions using Cypher, SPARQL, or GQL querying languages.
- Data Modeling: Build and maintain ontologies and knowledge graphs, ensuring efficient and scalable data modeling.
- Vector Databases: Integrate vector databases and implement similarity search techniques.
- Collaboration: Collaborate with data scientists and engineers to operationalize machine learning models and integrate with graph databases.
- Experience: At least 5 years of hands-on experience in data engineering, with 2 years of experience working with Graph DB.
- Programming: Advanced knowledge of Cypher, SPARQL, or GQL querying languages.
- ETL Processes: Expertise in designing and optimizing ETL processes for graph structures.
- Data Modeling: Strong skills in creating ontologies and knowledge graphs.
- Cloud Platforms: Experience with Azure analytics platforms, including Function Apps, Logic Apps, and Azure Data Lake Storage (ADLS).
This is an exciting opportunity for a talented data professional to drive innovation and growth in our organization.
The successful candidate will have a unique blend of technical expertise, business acumen, and collaboration skills.
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