Senior Data Engineer (Cosmos DB, Azure)
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.
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 base
Requirements
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)
We offer/Benefits
We gather like-minded people:
Engineering community of industry professionals
Friendly team and enjoyable working environment
Flexible schedule and opportunity to work remotely within Poland
Chance to work abroad for up to 60 days annually
Business-driven relocation opportunities
We provide growth opportunities:
Outstanding career roadmap
Leadership development, career advising, soft skills, and well-being programs
Certification (GCP, Azure, AWS)
Unlimited access to LinkedIn Learning, Get Abstract, Cloud Guru
English classes
We cover it all:
Stable income (Employment Contract or B2B)
Participation in the Employee Stock Purchase Plan
Benefits package (health insurance, multisport, shopping vouchers)
Strategically located offices featuring entertainment and relaxation zones, table tennis and football, free snacks, fantastic coffee, and more
Referral bonuses
Corporate, social and well-being events
Please, note:
The set of bonuses might vary based on the role you apply for – specifics will be discussed with our recruiter during the general interview.
We will reach out to selected candidates exclusively.
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.
Senior Data Engineer (Cosmos DB, Azure)
Senior Data Engineer (Cosmos DB, Azure)