Senior Data Software Engineer

We are expanding with a Senior Data Software Engineer who can build scalable data platforms and apply AI tools to strengthen data-driven solution choices. In this role, you will develop Python data processing services and real-time streaming with Apache Kafka Streams and Apache Flink on Amazon Web Services, while supporting Agile and CI/CD delivery.

Responsibilities

• Design and build maintainable data solutions that satisfy business and technical objectives
• Collaborate with cross-functional teams to ensure timely delivery and high-quality outcomes
• Provide input in architecture discussions to guide data-focused project direction
• Review teammates’ code and offer constructive feedback to reinforce good engineering practice
• Diagnose and resolve complex technical problems across the development and data processing lifecycle
• Support junior engineers’ growth by sharing knowledge and strengthening their technical abilities
• Join planning conversations to help define scope and deliver accurate time estimates
• Stay up to date on technology trends and apply valuable approaches in daily work
• Maintain clear documentation of technical decisions and data workflows to preserve stability
• Work closely with stakeholders to align on objectives and ensure results match expectations

Requirements

• A minimum of 3 years of relevant professional experience
• Practical knowledge of AI concepts and tools leveraged to improve data-driven solution design
• Strong proficiency in Python for building and maintaining data processing applications
• Experience with Apache Kafka Streams for managing real-time data streaming pipelines
• Hands-on knowledge of Apache Flink for processing and analyzing large-scale streaming data
• Practical experience within an Amazon Web Services cloud environment
• Capability to use SQL to organize, manage, and retrieve data from relational databases
• Familiarity with NoSQL database technologies for unstructured or semi-structured data handling
• Understanding of CI/CD practices for consistent, automated software and data pipeline releases
• Solid background in Data Software Engineering building reliable and scalable data-centric systems
• Knowledge of SDLC Methodologies and their implementation to support efficient execution
• Experience working in Agile frameworks to enable iterative, collaborative development
• Fluent English communication skills at a B2 (Upper-Intermediate) level or higher

Benefits

• 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