We are looking for a highly skilled Senior Data Software Engineer to join our remote team, working with a leading bank in the financial services industry. As a Senior Data Software Engineer, you will be responsible for designing, developing, and maintaining data products for deposits, loans, credit cards, and risk management. You will work closely with cross-functional teams to integrate data source systems and ensure the reliability and scalability of our data solutions. The successful candidate will have a strong background in data software engineering and a passion for developing innovative solutions. Responsibilities Design and develop data products for deposits, loans, credit cards, and risk management, ensuring the reliability and scalability of your data solutions Integrate data source systems and ensure data quality and consistency across multiple platforms Develop and maintain data pipelines using Spark and Apache Airflow, optimizing performance and scalability Design and optimize complex SQL queries and data models, ensuring efficient data retrieval and storage Collaborate with cross-functional teams to understand business requirements and develop innovative data solutions Participate in code reviews and ensure compliance with coding standards and best practices Contribute to the development of automated testing frameworks and tools to ensure the quality of our data solutions Requirements A minimum of 3 years of experience in Data Software Engineering, demonstrating expertise in designing and developing data products for large-scale applications In-depth knowledge of Python programming and related libraries such as Pandas, PyTest, and Sonar, showcasing your proficiency in data manipulation and analysis Expertise in Spark and Apache Airflow, highlighting your experience in building and maintaining data pipelines Hands-on experience with AWS Big Data Services such as EMR, Lake Formation, and Glue, showcasing your ability to build scalable and reliable data solutions Strong analytical and problem-solving skills, allowing you to identify and resolve complex data-related issues Fluent spoken and written English at an upper-intermediate level or higher, enabling effective communication Nice to have Experience with GitLab and Docker, enabling you to build and deploy data solutions in a containerized environment. 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