Intermediate Data Engineer designing and building data pipelines for travel industry data management. Collaborating across teams to ensure reliable data for analytics and reporting.
About the role
- Senior Data Engineer focusing on diagnosing and resolving performance challenges in large-scale data platforms. Collaborating with engineering team on architectural improvements and MongoDB optimization.
Responsibilities
- Assess current ingestion pipelines, database design, and overall platform architecture
- Identify root causes of performance bottlenecks and scaling limitations
- Recommend and implement architectural improvements (data modeling, ingestion patterns, queueing, compute/storage separation, etc.)
- Optimize MongoDB usage for large-scale ingestion and query workloads
- Review and improve Kubernetes, Helm, and worker orchestration patterns
- Work closely with the engineering team to implement fixes and best practices
Requirements
- 5+ years of experience
- Strong background in distributed systems and data platform architecture
- Deep experience with MongoDB at a very large scale
- Hands-on expertise with Kubernetes, Helm, and containerized workloads
- Experience designing and optimizing high-throughput ingestion pipelines
- Familiarity with task queues and worker-based ingestion models (e.g., Celery or similar)
- Ability to troubleshoot complex, custom, on-prem environments
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Tech skills
Location requirements
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