Senior Data Integration Engineer

We're seeking a capable Senior Data Integration Engineer with solid AI expertise to join our organization. This role presents the opportunity to tackle intricate, high-value data projects within a cooperative, innovation-focused setting. You'll become part of a team that prioritizes technical mastery, ongoing refinement, and real-world use of sophisticated technology. For someone driven to construct dependable, well-organized data pipelines while expanding their AI knowledge, this position offers a solid trajectory for career growth

Responsibilities

Plan and construct scalable, sustainable data integration systems that align with 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 integration 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 data pipeline's lifecycle 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 data integration solution design Advanced command of Python for developing and sustaining data integration systems Direct experience operating within cloud infrastructure built on Amazon Web Services Strong background in Data Integration, linking and unifying information from varied sources 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 pipelines Functional understanding of Google Cloud Platform for managing and deploying cloud-centered data solutions Background working with Apache Airflow for coordinating and scheduling data-related workflows Hands-on familiarity with Databricks or Snowflake for handling large-scale data processing and analysis Practical skill with Apache Spark for handling and analyzing extensive datasets 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