
Data Engineer
3 weeks ago
We are seeking a skilled and motivated Graph Database Data Engineer to join our team. The ideal candidate will have in-depth knowledge of graph database technologies, strong data engineering expertise, and hands-on experience with AWS cloud services. You will play a key role in building, maintaining, and optimizing knowledge graph pipelines that power data-driven :
- Design, implement, and manage graph database solutions with a focus on graph architecture, structures, and operations.
- Develop and maintain data pipelines to efficiently ingest, transform, and load data into graph databases.
- Write optimized queries using graph query languages such as SPARQL and Gremlin.
- Work with AWS Neptune or other graph database platforms for graph data storage and analytics.
- Utilize Python to build scalable data transformation, integration, and automation workflows.
- Leverage AWS services such as EKS (Elastic Kubernetes Service), Kubernetes, S3 and Lambda to deploy and manage data processing systems.
- Collaborate with data scientists, analysts, and engineers to integrate graph-based data models into enterprise systems.
Requirements :
- Proven expertise in Graph Database technologies and graph query languages (e. g., SPARQL, Gremlin).
- Hands-on experience with AWS Neptune is highly preferred.
- Strong background in data pipeline design and implementation.
- High-level proficiency in Python programming for data engineering tasks.
- Experience with AWS services, especially EKS, Kubernetes, S3 and Lambda.
- Strong problem-solving skills and ability to work in a fast-paced, collaborative environment.
(ref:hirist.tech)-
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