Posted:10 hours ago|
Platform:
Remote
Full Time
Cloudologic is a leading cloud consulting and IT service provider specializing in cloud operations, cybersecurity, and managed services. With headquarters in Singapore and strong roots in India, we thrive at the intersection of technology and innovation. Over the last decade, we have built a reputation for excellence and reliability, earning the trust of clients globally. Our mission is to deliver cutting-edge solutions that empower businesses to achieve their goals in a rapidly changing digital landscape.
We are seeking a skilled Graph Database Engineer for a full-time, remote position. The Database Engineer will be responsible for managing and maintaining database systems, designing database solutions, developing and implementing databases, and creating data models. They will also oversee the Extract, Transform, and Load (ETL) processes to ensure efficient data integration and transformation across various systems. The role requires collaboration with cross-functional teams to support and enhance data-driven decision-making processes.
- Design, develop, and maintain graph database models using Neo4j.
- Integrate and process large-scale data sets in Databricks for graph analytics.
- Develop Cypher queries and procedures for complex graph traversals and data extraction.
- Collaborate with data engineering and analytics teams to build scalable data pipelines.
- Optimize graph database performance and ensure data integrity.
- Implement data ingestion, transformation, and integration workflows between Neo4j,
Databricks, and other data sources.
- Develop and maintain documentation for data models, processes, and best practices.
- Troubleshoot and resolve issues related to graph data storage, retrieval, and processing.
Requirements:
- Proven experience with Neo4j, including data modeling, Cypher query development, and performance tuning.
- Experience working with Databricks (Spark, Delta Lake, notebooks, and data pipelines).
- Strong understanding of graph theory and graph analytics concepts.
- Proficiency in Python or Scala for data engineering tasks.
- Experience with ETL processes and integrating data from multiple sources.
- Familiarity with Azure cloud platforms is a plus.
Cloudologic
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