Location: Amsterdam Netherlands Work Mode: Onsite (Complete Onsite) Experience: 68 Years Start Date: ASAP Contract Duration: 6 Months
Job Description: We are looking for a skilled Neo4j & Azure Data Developer to design develop and manage graph-based data solutions integrated with cloud platforms. The role involves building scalable data pipelines modeling graph data and optimizing performance using Neo4j and Azure data services. The candidate will work closely with data engineering teams to ingest transform and analyze large datasets using modern cloud technologies.
Key Responsibilities:
Design and implement graph data models using Neo4j and Cypher queries
Develop and optimize data pipelines using Python and PySpark
Build and manage data ingestion workflows using Azure Data Factory
Work with Azure Databricks and Azure Storage for large-scale data processing
Integrate graph databases with cloud-based data platforms and analytics systems
Monitor and tune database and pipeline performance
Collaborate with data engineers architects and business stakeholders
Required Skills:
Strong experience with Neo4j (Cypher graph data modeling performance tuning)
Hands-on experience with Microsoft Azure (Azure Data Factory Azure Databricks Azure Storage)
Proficiency in Python and PySpark for data ingestion and transformation
Experience integrating graph databases with cloud data platforms
Strong problem-solving and data engineering skills
Language Requirement: English
Location: Amsterdam Netherlands (Onsite role)
Job Title: Neo4j & Azure Data Developer Location: Amsterdam NetherlandsWork Mode: Onsite (Complete Onsite)Experience: 68 YearsStart Date: ASAPContract Duration: 6 Months Job Description:We are looking for a skilled Neo4j & Azure Data Developer to design develop and manage graph-based data solutions ...
Job Title: Neo4j & Azure Data Developer
Location: Amsterdam Netherlands Work Mode: Onsite (Complete Onsite) Experience: 68 Years Start Date: ASAP Contract Duration: 6 Months
Job Description: We are looking for a skilled Neo4j & Azure Data Developer to design develop and manage graph-based data solutions integrated with cloud platforms. The role involves building scalable data pipelines modeling graph data and optimizing performance using Neo4j and Azure data services. The candidate will work closely with data engineering teams to ingest transform and analyze large datasets using modern cloud technologies.
Key Responsibilities:
Design and implement graph data models using Neo4j and Cypher queries
Develop and optimize data pipelines using Python and PySpark
Build and manage data ingestion workflows using Azure Data Factory
Work with Azure Databricks and Azure Storage for large-scale data processing
Integrate graph databases with cloud-based data platforms and analytics systems
Monitor and tune database and pipeline performance
Collaborate with data engineers architects and business stakeholders
Required Skills:
Strong experience with Neo4j (Cypher graph data modeling performance tuning)
Hands-on experience with Microsoft Azure (Azure Data Factory Azure Databricks Azure Storage)
Proficiency in Python and PySpark for data ingestion and transformation
Experience integrating graph databases with cloud data platforms
Strong problem-solving and data engineering skills