Senior Data Integration Engineer (AI, Python, Databricks)

We are building dependable, scalable data integration platforms and want a Senior Data Integration Engineer who brings practical AI familiarity. You will partner with a collaborative team to design and run cloud-based pipelines using Python, SQL, Airflow, Spark, and tools like Databricks or Snowflake. Apply now to help deliver high-quality integrations and keep advancing your AI skills

Responsibilities

• Design scalable, long-lasting data integration systems that satisfy both business and technical needs
• Collaborate with cross-functional teams to deliver work on time while meeting quality standards
• Contribute to architecture discussions by sharing input that shapes data integration direction
• Review peers’ code and provide actionable feedback to uphold reliable engineering practices
• Troubleshoot complex technical problems that arise across the data pipeline lifecycle
• Mentor junior colleagues by sharing knowledge that strengthens their technical skills
• Support planning activities by clarifying scope and providing trustworthy time estimates
• Stay current with evolving technologies and introduce valuable approaches into day-to-day work
• Maintain clear documentation of key technical decisions and data workflows to ensure long-term stability
• Partner with stakeholders to define goals and verify outcomes meet expectations

Requirements

• At least 3 years of applicable, relevant professional experience
• Functional knowledge of AI principles and tools, applied to improve data integration solution development
• Advanced proficiency in Python for developing and maintaining data integration applications
• Hands-on background working in cloud environments built on Amazon Web Services
• Strong foundation in Data Integration, combining and harmonizing data from multiple sources
• Solid SQL skills for structuring, managing, and querying relational databases
• Familiarity with NoSQL database systems to work with unstructured and semi-structured data
• Understanding of CI/CD practices that enable consistent, automated deployment of software and pipelines
• Working knowledge of Google Cloud Platform for operating and deploying cloud-centered data solutions
• Experience with Apache Airflow to schedule, orchestrate, and monitor data workflows
• Practical experience with Databricks or Snowflake to support large-scale processing and analytics
• Hands-on knowledge of Apache Spark for processing and analyzing substantial datasets
• Awareness of SDLC Methodologies and how they support organized, efficient project delivery
• Experience working in Agile settings that encourage iterative, team-oriented development
• Confident English communication skills at a B2 level (Upper-Intermediate) 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