Neo4j Graph Data Migration Engineer.
This mandate is run by SYMPHONI HR, a Mumbai-based executive search firm, est. 2003. Applications are email-verified and reach the search team running the role — confidentially, always.
About the organisation.
Our client is a leading global computer software organization known for delivering innovative data-driven solutions. They operate at a significant scale, supporting complex enterprise architectures and fostering a culture of technical excellence and continuous improvement.
About the role.
We are seeking a highly skilled Neo4j Graph Data Migration Engineer to lead the strategic planning, execution, and optimization of migrating large-scale, on-premises Neo4j database platforms to the AWS cloud environment. You will serve as the core technical driver for transitioning complex graph datasets and enterprise knowledge graphs while ensuring minimal downtime, data integrity, and high performance.
What you will do.
- Lead the migration of complex graph database workloads from on-premises environments to AWS.
- Design and execute comprehensive data migration blueprints and bulk data transfer pipelines.
- Optimize Cypher queries for native cloud graph environments to ensure maximum performance.
- Identify and mitigate migration risks, edge-case failures, and schema disparities during cutover phases.
- Validate post-migration data integrity, ensuring complex relationship structures and pointers remain intact.
- Maintain and streamline ETL pipelines to synchronize data between legacy systems and new cloud instances.
- Troubleshoot post-migration bottlenecks related to memory allocation and disk I/O performance.
- Establish robust security postures for graph data within the cloud architecture.
What you bring.
- 7–12 years of professional data engineering experience.
- Minimum 3 years of hands-on experience with Neo4j graph databases and AWS cloud environments.
- Advanced proficiency in writing and optimizing production-grade Cypher queries.
- Strong experience with AWS Glue, Amazon S3, AWS Lambda, and Amazon Athena.
- Expertise in big data compute using Amazon EMR, Apache Spark, PySpark, Hive, and Hadoop.
- Strong scripting skills in Python.
- AWS Certified Data Engineer or AWS Certified Solutions Architect certification is highly preferred.
- Proven ability to manage large-scale data migrations with minimal production impact.
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