Neo4J Graph Data 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 company known for delivering innovative data-driven solutions. They foster a collaborative, high-performance culture that empowers engineers to solve complex technical challenges at scale.
About the role.
We are seeking a skilled Data Engineer to lead the planning, execution, and validation of enterprise data migration strategies. You will be responsible for transitioning critical workloads from legacy environments to modern, scalable cloud-based architectures, with a specific focus on graph data structures and financial modeling systems.
What you will do.
- Lead the migration of complex graph database workloads and optimize Cypher queries for cloud environments.
- Refactor, deploy, and maintain robust Java APIs to ensure seamless connectivity within the AWS ecosystem.
- Architect and build high-performance, parallel data streams using AWS Glue, Amazon S3, Lambda, and Athena.
- Develop automated validation scripts to ensure data integrity, schema accuracy, and zero data loss during migration.
- Fine-tune data extraction processes to eliminate on-premise bottlenecks and manage API throttling.
- Utilize Python and PySpark to build and maintain efficient data processing pipelines.
What you bring.
- 7–12 years of professional data engineering experience.
- Proven expertise in Neo4J and writing production-grade Cypher queries.
- Strong background in Java development for enterprise APIs and data connectors.
- Hands-on experience integrating SAS or SASFM environments into data pipelines.
- Deep proficiency with the AWS data stack, including AWS Glue, S3, and Athena.
- At least 2 years of dedicated experience migrating legacy workloads to AWS.
- AWS Certified Data Engineer or AWS Certified Solutions Architect certification is highly preferred.
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