Senior Data Engineer

We are seeking an experienced Senior Data Engineer to join our team and contribute to building robust and scalable data solutions.

In this role, you will design and optimize data pipelines, ensure data platform reliability, and collaborate with cross-functional teams to drive impactful data engineering initiatives. This is a great opportunity to work on innovative projects, mentor team members, and align technical decisions with business objectives.

Responsibilities

• Act as a subject matter expert for integrated data products and foundational data systems
• Enforce data engineering guardrails, standardized workflows, and engineering standards to ensure scalable and reliable data platforms
• Optimize data pipeline costs and recovery processes using telemetry, automation, and financial efficiency practices
• Manage feature stores, machine learning pipelines, and data warehouses, ensuring robust modeling, governance, and adherence to SLAs
• Implement privacy-by-design principles, data contracts, and production-grade ML pipelines for secure and efficient operations
• Maintain technical oversight to ensure alignment with AI enablement strategies and enterprise goals
• Promote reuse of components, patterns, and best practices across data engineering teams
• Mentor and elevate data engineers, contribute to setting and refining standards, and build communities of practice
• Solve complex, cross-team data challenges and drive systemic improvements with minimal supervision
• Influence strategic roadmaps, balance trade-offs, and align technical decisions with business goals
• Collaborate effectively with cross-functional teams and external partners to deliver impactful solutions
• Lead through ambiguity, drive organizational change, and support the development of new capabilities

Requirements

• At least 3 years of proven experience in Data Engineering
• Expertise in designing secure ELT and ML data pipelines, optimizing job cost and latency, and managing context artifacts for reliability
• Proficiency in enabling safe agent actions, federated data sharing, and robust data warehousing using AWS
• Experience tuning Snowflake for performance, secure data sharing, and governance
• Strong ability to design and manage scalable EMR/Apache Spark clusters for distributed data processing
• Proven experience leading EMR/Apache Spark-based ETL and analytics solutions
• Skilled in applying cost profiling and fault-tolerant AI service patterns
• Proficient in implementing verification, monitoring, backup, and recovery procedures for data systems
• Mastery of data product lifecycle management, ML orchestration, and enterprise modeling
• Fluent English communication skills, both written and spoken, at a B2+ level or higher

Nice to have

• Experience with Kubernetes or containerized environments for data workflows
• Knowledge of real-time data streaming technologies such as Apache Kafka or AWS Kinesis

We offer

• International projects with top brands
• Work with global teams of highly skilled, diverse peers
• Healthcare benefits
• Employee financial programs
• Paid time off and sick leave
• Upskilling, reskilling and certification courses
• Unlimited access to the LinkedIn Learning library and 22,000+ courses
• Global career opportunities
• Volunteer and community involvement opportunities
• EPAM Employee Groups
• Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn