Big Data Engineer Database Performance Audit (Hybrid)

Role Overview

We are seeking an experienced Big Data Engineer to support a large-scale technical audit of a complex distributed application ecosystem. The assignment focuses on evaluating database performance identifying bottlenecks and assessing data architecture within a microservices-based environment.

Key Responsibilities

• Analyze PostgreSQL database performance scalability and reliability.
• Investigate slow queries indexing strategies locking issues and database contention.
• Review database schemas replication mechanisms reporting views and data synchronization processes.
• Assess the impact of data migration and document migration activities on system performance and data consistency.
• Identify technical risks affecting performance maintainability and operational resilience.
• Contribute to audit findings technical assessments and actionable recommendations.
• Collaborate with architects developers and audit team members to provide evidence-based conclusions.

Technical Environment

• Java / Spring Boot microservices
• Angular micro-frontends
• Kafka event-driven architecture
• PostgreSQL databases
• Spring Batch processing
• Alfresco / S3 document repositories
• Podman containerized platform

Required Skills

• Expert-level PostgreSQL performance analysis.
• Strong expertise in query optimization indexing locking analysis and database troubleshooting.
• Proven experience auditing application databases in large-scale enterprise environments.
• Ability to analyze complex distributed systems and high-volume data platforms.
• Strong understanding of data consistency replication and migration challenges.

Profile

• Extensive experience in database performance auditing and optimization.
• Excellent analytical and problem-solving skills.
• Strong communication skills in French (C2 level required).
• Ability to work independently while collaborating within a multidisciplinary audit team.
• Experience in large-scale Java/Spring Boot environments is highly desirable.

Location & Work Model

• Hybrid work arrangement.
• On-site presence required during key project phases and workshops.