Data Engineer (Cosmos DB)
We are seeking a Data Engineer with deep expertise in database support and cloud-based data platforms, focusing on Cosmos DB and Azure Fabric environments.
This position is ideal for an experienced engineer who excels in production-grade data environments, ensuring operational stability and driving enhancements to data platform solutions.
Responsibilities
- Provide end-to-end support for Cosmos DB–based databases, including monitoring, troubleshooting and performance tuning
- Work extensively with Cosmos DB (NoSQL API) and other Cosmos DB variants (Core SQL, Mongo API, Cassandra API, Table API)
- Support and maintain data platform components within Azure Fabric
- Diagnose and resolve production issues related to data access, latency, throughput and availability
- Implement best practices for scalability, security, backup and disaster recovery
- Collaborate with application, data engineering and platform teams to support data-driven solutions
- Contribute to automation, scripting and operational improvements
- Participate in on-call or production support rotations as required
- Document operational procedures and support knowledge
Requirements
- 3+ years of experience as a Dev, Data or Platform Engineer
- Strong hands-on experience with Cosmos DB (NoSQL API)
- Expertise in other Cosmos DB variants
- Experience working with Azure Service Fabric or Azure-based data platforms
- Solid understanding of NoSQL data modeling, partitioning and performance tuning
- Experience supporting production databases in cloud environments
- Familiarity with Azure services and monitoring tools
- Strong troubleshooting and analytical skills
- Calm, methodical approach to production support and incident management
- Good communication skills, able to work with both technical and non-technical stakeholders
- Ability to prioritize effectively in high-availability environments
- Collaborative mindset and ownership mentality
- Excellent command of written and spoken English (B2+ level)
Nice to have
- Experience with code generation, including non-AI and AI-assisted approaches
- Exposure to Data Science workflows
- Experience with Big Data platforms and distributed systems
- Knowledge of financial instruments and financial services data
- Hands-on experience with industry-standard LLMs (including GPT, Claude or similar)
