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
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

Work arrangement
Yes