SC Graph Data Engineer
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Role details
Tech stack
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Job description
We are seeking an experienced Graph Data Engineer to join our Data Engineering team on a freelance basis. You will work closely with data engineers, software engineers, architects and business stakeholders to design, develop and maintain scalable, high-performance data solutions, with a particular focus on graph databases, data modelling, entities and relationships.
Requirements
This is a hands-on engineering role suited to someone with strong commercial experience in Neo4j, Cypher, AWS and Python, alongside a proven ability to build robust, scalable data pipelines and deliver effective data integration and transformation solutions., Graph Data Engineering
- Strong commercial experience working with Neo4j.
- Advanced proficiency in Cypher, including query development and optimisation.
- Strong understanding of graph data modelling, including entities, relationships and connected data structures.
- Experience designing and implementing ETL/ELT pipelines for graph databases.
- Ability to develop scalable and efficient data solutions to support complex data relationships.
AWS and Data Engineering
- Strong experience working with AWS in data engineering environments.
- Hands-on experience with AWS Glue for data integration and processing.
- Strong experience using Apache Airflow for workflow orchestration and pipeline management.
- Advanced Python development skills.
- Experience with Apache Spark or similar distributed data processing technologies would be advantageous.
- Proven experience designing, building and maintaining scalable ETL/ELT pipelines.
- Strong understanding of data integration, transformation and processing best practices.
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