Position Details
About this role
This role involves designing and developing enterprise-scale graph database solutions to enhance fraud detection and data insights within a financial institution.
Key Responsibilities
- Lead data pipeline development
- Design graph database solutions
- Collaborate on data governance
- Optimize data architecture
- Support fraud detection systems
Technical Overview
The technical environment includes graph databases (Neo4j), big data tools (Spark, Hadoop, Hive), ETL/ELT processes, and data governance frameworks, supporting hybrid cloud environments.
Ideal Candidate
The ideal candidate is a mid-level data engineer with 5+ years of experience in database engineering, specializing in graph databases like Neo4j, and experienced with big data tools such as Spark, Hadoop, and Hive. They should have strong leadership and problem-solving skills, with a focus on data governance and scalable data architecture.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Lack of experience with graph databases, No experience with Neo4j, Less than 3 years of relevant experience, No experience with big data tools
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