We are seeking a skilled and motivated Senior Data Integration Engineer to join our team. In this role, you will focus on designing and implementing data integration solutions, optimizing ETL pipelines, and conducting advanced data analysis. You will collaborate with stakeholders to analyze requirements and propose effective solutions, contributing to impactful projects in a dynamic environment. Responsibilities Build and maintain ETL pipelines using Spark-based Dataswarm technology to ensure efficient data integration Perform ad-hoc data analysis by writing complex SQL queries to address business needs Communicate directly with customers to gather requirements, analyze needs, and recommend optimal solutions and approaches Collaborate with cross-functional teams to ensure seamless data integration and delivery of high-quality results Requirements At least 3 years of experience as a Data Integration Engineer Proficiency in SQL for querying and managing relational databases Experience working with Apache Hive for data warehousing and querying Hands-on expertise with ETL/ELT solutions for data transformation and integration Strong programming skills in Python for data processing and automation Fluent English communication skills, both written and spoken, at a B2 level or higher Nice to have Familiarity with the Software Development Life Cycle (SDLC) and its application in data integration projects Experience working with Apache Spark for distributed data processing Knowledge of Presto query engine in production environments for advanced analytics We offer/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