We're seeking a capable Senior Data Software Engineer with solid AI expertise to join our organization. This role presents the chance to contribute to meaningful, data-centered projects within a cooperative and innovation-minded environment. You'll become part of a team that places value on technical depth, continuous skill-building, and real-world application of modern technology. For someone passionate about engineering robust data systems while expanding their AI knowledge, this position offers a solid foundation for career growth
Responsibilities
- Plan and construct scalable, sustainable data architecture that aligns with both business and technical goals
- Partner with teams across different functions to ensure work is finished punctually and meets quality expectations
- Participate in architecture-focused discussions, sharing input that helps direct data-related project outcomes
- Assess code authored by fellow engineers, offering constructive notes that maintain strong engineering standards
- Diagnose and resolve intricate technical problems that emerge throughout the development and data handling process
- Help junior colleagues grow by passing along knowledge that builds their technical competencies
- Engage in planning conversations, assisting with scope outlines and delivering reliable time projections
- Keep pace with changing technology trends and incorporate beneficial new methods into regular work
- Preserve organized documentation of significant technical decisions and data processes to support system longevity
- Collaborate directly with stakeholders to define clear goals and confirm finished work matches expectations
Requirements
- At least three years of applicable, hands-on professional background
- Hands-on familiarity with AI principles and tools, used to enhance the design of data-driven solutions
- Advanced command of Python for developing and sustaining data processing systems
- Background working with Apache Kafka Streams for overseeing real-time data streaming workflows
- Practical skill with Apache Flink for handling and analyzing extensive streaming datasets
- Direct experience operating within an Amazon Web Services cloud infrastructure
- Able to apply SQL for organizing, managing, and extracting information from relational databases
- Working knowledge of NoSQL database systems for managing unstructured or semi-structured content
- Awareness of CI/CD practices that support consistent, automated releases for software and data pipelines
- Strong background in Data Software Engineering, constructing dependable and scalable data-oriented systems
- Familiarity with SDLC Methodologies and their application in supporting organized, efficient project work
- Background operating within Agile structures to support collaborative, iterative development cycles
- Confident English communication abilities at a B2 level or above
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
EPAM is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, disability, protected veteran status, or any other characteristic protected by applicable law.
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