Senior Data Engineer (PySpark, NoSQL)

We are seeking a Senior Data Engineer with expertise in Cosmos DB and Azure, skilled in designing, implementing, and maintaining robust cloud-based data solutions. This role focuses on ensuring platform reliability, optimizing performance, and enabling scalable and efficient data operations within a production-grade environment.

• 5+ years of experience as a Data Engineer or in a similar role
• Strong hands-on experience with Cosmos DB, including its NoSQL API and data variants
• Expertise in managing data platforms hosted on Azure, including Azure Fabric
• Solid understanding of NoSQL data modeling, partitioning techniques, and performance optimization
• Competency in troubleshooting production database issues in cloud environments
• Proficiency in Azure tools and services for monitoring and management
• Strong troubleshooting and analytical skills
• Calm, methodical approach to production support and incident management
• Good communication skills, ability to work with both technical and non-technical stakeholders
• Ability to prioritize effectively in high-availability environments
• Collaborative mindset and ownership mentality
• Excellent written and verbal communication skills in 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)

• 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 base

EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.