Job Description We are seeking an experienced professional to join our team as a Senior Data Integration Engineer. In this role, you will be responsible for 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. - Design and implement data integration solutions using Spark-based Dataswarm technology. - Optimize ETL pipelines for efficient data processing. - Conduct advanced data analysis by writing complex SQL queries. Required Skills and Qualifications To be successful in this role, you will need: - 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. Benefits We offer a range of benefits, including: - International projects with top brands. - Opportunities to 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.