Data Engineer (Neo4j & Azure)

Amsterdam - Netherlands

Monthly Salary: Not Disclosed

Experience Required: 6-8years

Posted on: 4 days ago

Vacancies: 1 Vacancy

Job Summary

As a Data Engineer (Neo4j & Azure) you will:

Design and implement graph data models using Neo4j.
Develop and optimize Cypher queries for performance and scalability.
Build and manage data ingestion and transformation pipelines using Python and PySpark.
Work with Azure Data Factory Azure Databricks and Azure Storage for data processing and orchestration.
Integrate graph databases with cloud-based data platforms.
Ensure efficient data processing transformation and storage solutions.
Collaborate with cross-functional teams to deliver data-driven solutions.
Maintain and enhance data pipelines and data platform performance.
Ensure data quality consistency and reliability across systems.

What You Bring to the Table:

Strong hands-on experience with Neo4j (Cypher graph data modeling performance tuning).
Proven experience with Python and PySpark for data ingestion and transformation.
Solid experience working with Azure services (Data Factory Databricks Azure Storage).
Experience integrating graph databases with cloud data platforms.
Strong understanding of data engineering concepts and data pipelines.
Experience working with large-scale data processing environments.
Strong analytical and problem-solving skills.
Experience working in Agile and collaborative environments.

You Should Possess the Ability to:

Design scalable and efficient graph-based data solutions.
Optimize and troubleshoot data pipelines and database performance.
Work with complex datasets and transform them into usable insights and structures.
Collaborate effectively with engineering and data teams.
Take ownership and deliver end-to-end data solutions.
Adapt to evolving technologies and continuously improve data processes.

What We Bring to the Table:

Opportunity to work on advanced graph data and cloud-based data platforms.
Exposure to modern data engineering tools and Azure ecosystem.
A collaborative environment focused on innovation and continuous improvement.
Opportunities to build scalable and high-performance data solutions.
A professional setup that encourages ownership learning and growth.

Lets Connect

Want to discuss this opportunity in more detail Feel free to reach out.

Recruiter: Asha Krishnan

Phone: ; Extn :146

Email:

LinkedIn: Skills:

As a Data Engineer (Neo4j & Azure) you will: Design and implement graph data models using Neo4j. Develop and optimize Cypher queries for performance and scalability. Build and manage data ingestion and transformation pipelines using Python and PySpark. Work with Azure Data Factory Azure Databricks and Azure Storage for data processing and orchestration. Integrate graph databases with cloud-based data platforms. Ensure efficient data processing transformation and storage solutions. Collaborate with cross-functional teams to deliver data-driven solutions. Maintain and enhance data pipelines and data platform performance. Ensure data quality consistency and reliability across systems. What You Bring to the Table: Strong hands-on experience with Neo4j (Cypher graph data modeling performance tuning). Proven experience with Python and PySpark for data ingestion and transformation. Solid experience working with Azure services (Data Factory Databricks Azure Storage). Experience integrating graph databases with cloud data platforms. Strong understanding of data engineering concepts and data pipelines. Experience working with large-scale data processing environments. Strong analytical and problem-solving skills. Experience working in Agile and collaborative environments. You Should Possess the Ability to: Design scalable and efficient graph-based data solutions. Optimize and troubleshoot data pipelines and database performance. Work with complex datasets and transform them into usable insights and structures. Collaborate effectively with engineering and data teams. Take ownership and deliver end-to-end data solutions. Adapt to evolving technologies and continuously improve data processes. What We Bring to the Table: Opportunity to work on advanced graph data and cloud-based data platforms. Exposure to modern data engineering tools and Azure ecosystem. A collaborative environment focused on innovation and continuous improvement. Opportunities to build scalable and high-performance data solutions. A professional setup that encourages ownership learning and growth. Lets Connect Want to discuss this opportunity in more detail Feel free to reach out. Recruiter: Asha Krishnan Phone: ; Extn :146 Email: LinkedIn: