Senior Data Integration Engineer

We are looking for a Senior Data Integration Engineer with strong AI knowledge to join our team. This role offers the opportunity to work on complex, high-impact data projects within a collaborative and innovation-driven environment. You'll be part of a team that values technical excellence, continuous improvement, and the practical application of advanced technology. If you're motivated to build reliable, well-structured data pipelines while growing your AI expertise, this position offers a strong path for professional development.

Responsibilities

• Design and build scalable, maintainable data integration solutions that meet business and technical objectives
• Collaborate with cross-functional teams to ensure deliverables are completed on time and meet quality standards
• Contribute to architecture discussions, offering input that helps shape the direction of data integration projects
• Review code produced by fellow engineers, providing constructive feedback to uphold strong engineering practices
• Investigate and resolve complex technical issues that arise throughout the data pipeline lifecycle
• Support the growth of junior team members by sharing knowledge that strengthens their technical abilities
• Take part in planning discussions, contributing to scope definition and providing accurate time estimates
• Stay current with evolving technology trends and apply valuable new approaches to daily work
• Maintain clear documentation of key technical decisions and data workflows to support long-term system stability
• Work closely with stakeholders to establish clear objectives and ensure completed work aligns with expectations

Requirements

• A minimum of 3 years of relevant professional experience
• Practical knowledge of AI concepts and tools, applied to strengthen data integration solution design
• Strong proficiency in Python for building and maintaining data integration applications
• Hands-on experience working within cloud environments built on Amazon Web Services
• Solid background in Data Integration, connecting and consolidating data from diverse sources
• Capable of using SQL to structure, manage, and retrieve data from relational databases
• Familiarity with NoSQL database technologies for handling unstructured or semi-structured data
• Understanding of CI/CD practices that enable consistent, automated software and pipeline releases
• Working knowledge of Google Cloud Platform for managing and deploying cloud-based data solutions
• Experience with Apache Airflow for orchestrating and scheduling data workflows
• Practical experience with Databricks or Snowflake for managing large-scale data processing and analytics
• Hands-on knowledge of Apache Spark for processing and analyzing large datasets
• Knowledge of SDLC Methodologies and their implementation to support organized, efficient project execution
• Experience working within Agile frameworks to support iterative, collaborative development
• Fluent English communication skills at a B2 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