Responsibilities

• Lead the design and implementation of scalable and efficient data architectures
• Develop data pipelines and workflows to ensure quality and accessibility
• Collaborate with stakeholders to collect requirements and deliver data-driven solutions
• Provide technical guidance and mentorship to engineering teams
• Optimize performance, scalability, and reliability of systems
• Establish technical best practices and ensure delivery of high-quality code
• Conduct code reviews and contribute actively to technical discussions
• Support pre-sales activities, client engagements, and SWAT team operations
• Encourage knowledge sharing and participate in meetups and technical talks
• Stay informed about emerging technologies and adopt innovative solutions

Requirements

• Education in Engineering, Computer Science, or a related field
• At least 7 years of professional experience as a Data Engineer
• Minimum of 2 years in leadership roles, managing teams and directing projects
• Participation in at least 2 full-cycle projects or multiple phases of development lifecycles
• Proven hands-on expertise in coding and solving advanced technical challenges
• Proficiency in Python for data processing, analysis, and automation
• Deep knowledge of Amazon Web Services (AWS) for cloud-based solutions
• Background in Databricks for big data analytics and machine learning workflows
• Skills in system design and architecture, balancing vision with detailed implementation
• Evidence of delivering significant technical impact on projects and within organizations
• Broad cross-disciplinary knowledge across various technical domains and stacks
• Commitment to mentoring and sharing expertise with teams and the broader community
• Capability to innovate through the adoption of new tools, frameworks, or methods
• Flexibility to use diverse programming languages, technical stacks, and domains
• Competency in English communication at B2 level or higher

Nice to have

• Familiarity with real-time data processing and streaming technologies
• Understanding of advanced machine learning and AI frameworks
• Knowledge of serverless computing solutions for data workflows

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