GraphQL Data Engineer

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Marktine

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Job Summary


Job Type
-

Seniority
Senior

Years of Experience
Information not provided

Tech Stacks
SQL Neo4j Azure Flow Graph ETL

Job Description

Profile: Data Engineer

Key Skillset: Graph QL+ Neo4j+ SQL

Job Location: Remote

Job Type: Contractual/Consulting

Experience: 6+ years


Job Description

We are looking for an experienced Graph Data Engineer with a strong background in Neo4j and Azure to join our team. The ideal candidate will have over 6 years of experience in designing, developing, and optimizing graph databases and related applications. This role requires proficiency in Neo4j, extensive experience with Azure services, and a solid understanding of data modeling and integration.


Key Responsibilities:

Neo4j Expertise:

Design, develop, and maintain graph databases using Neo4j.

Implement complex queries and optimize performance within the Neo4j environment.

Develop and implement data models to represent complex relationships and networks.

Azure Proficiency:

Utilize Azure services for deploying, managing, and scaling Neo4j databases and related applications.

Integrate Neo4j with various Azure services to ensure seamless data flow and processing.

Manage cloud infrastructure, ensuring high availability and security of the data solutions.

Data Integration and Management:

Design and implement ETL processes for data integration from various sources into Neo4j.

Ensure data integrity, consistency, and quality throughout the data lifecycle.

Develop scripts and tools to automate data processing and transformation tasks.

Performance Optimization:

Identify and resolve performance bottlenecks within the graph database.

Optimize queries, indexes, and data structures for efficient data retrieval and manipulation.

Collaboration and Communication:

Work closely with data scientists, analysts, and other stakeholders to understand data requirements and deliver effective solutions.

Communicate complex technical concepts to non-technical stakeholders.

Collaborate with cross-functional teams to integrate Neo4j solutions with other business applications.


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