Data Engineer (Cosmos DB)

About the Position

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)

We Offer

• Remote work from Bucharest, Romania

About the Company

EPAM Systems is a global software engineering and product development company, delivering digital platform engineering and software development services to enterprises across various industries.