Role : Neo4j Data Engineer

Experience : 7+ yrs

Location : Pune, Bangalore, Noida, Gurgaon

Work Mode : Hybrid

Roles and Responsibilities :

- Design, develop, and maintain data engineering solutions using PySpark and Hadoop ecosystems.

- Develop and optimize Neo4j graph database solutions for enterprise-scale applications.

- Write, enhance, and optimize Cypher queries for efficient data ingestion, retrieval, and analysis.

- Build and maintain data pipelines for loading and processing large volumes of data.

- Implement data loading solutions into Neo4j using PySpark Parallel Loader and related integration frameworks.

- Monitor, troubleshoot, and optimize performance of data processing jobs and graph database workloads.

- Collaborate with architects, data scientists, and business stakeholders to understand requirements and deliver technical solutions.

- Ensure data quality, integrity, governance, and security standards are maintained.

- Participate in code reviews, technical design discussions, and best practice implementation.

- Create technical documentation and present solutions to technical and non-technical stakeholders.

Required Skills :

- 7 - 10 years of overall experience in Data Engineering.

- Hands-on experience with PySpark and Hadoop clusters.

- 3 - 5 years of hands-on experience with Neo4j Graph Database.

- Strong expertise in writing and optimizing Cypher queries for data read/write operations.

- Experience loading and managing data in Neo4j using PySpark Parallel Loader.

- Strong understanding of data modeling, ETL/ELT processes, and distributed computing concepts.

- Experience troubleshooting performance issues and optimizing data pipelines.

Education : Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.