Role: Neo4J Data engineer

Experience: 8yrs

Location: All EXL Location

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 effective 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: • 6-10 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

📌 Neo4J Data Engineer (Pune)
🏢 EXL
📍 Pune