We are seeking a skilled Senior Data Software Engineer to join our team remotely. As a Senior Data Software Engineer, you will be responsible for developing and maintaining data pipelines, building data models, and designing and implementing scalable data solutions. You will work closely with cross-functional teams to ensure the accuracy and reliability of our data. Additionally, you will be responsible for ensuring that the data is properly stored, processed, and analyzed. Responsibilities Design and develop scalable data solutions that meet business requirements Collaborate with cross-functional teams to ensure data accuracy and reliability Build and maintain data pipelines and data models Ensure that data is properly stored, processed, and analyzed Optimize data storage and retrieval for faster query performance Develop and implement data security and privacy protocols Troubleshoot data-related issues and provide technical support Provide mentorship and guidance to junior team members Requirements Bachelor's Degree or Master's Degree in Computer Science or similar Minimum of 3 years of experience in Data Software Engineering Expertise in Python programming and Snowflake Strong understanding of Amazon Web Services (AWS) Strong experience with Snowflake data warehouse and SQL scripting Strong written and verbal communication skills in English (Upper-Intermediate level) Nice to have Familiarity with modelling tools and data visualization, such as Tableau Knowledge of Hive concepts and partitioning/bucketing Experience in Performance Tuning in Spark 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