We are seeking a remote Senior Data Software Engineer to join our team. This position requires a highly skilled professional with expertise in Apache Spark, Microsoft Azure, and Python. You will work on a high-impact project for a globally recognized brand, contributing to the development of innovative data solutions that support business growth and success. Responsibilities Collaborate with cross-functional teams to design, implement, and maintain data integration systems Build and optimize data pipelines leveraging Apache Spark, Microsoft Azure, and Python Ensure data pipelines are scalable, reliable, and maintainable Convert data science models into production-ready applications Develop and support forecasting models to inform strategic business decisions Maintain data quality and consistency across all data sources Monitor and enhance data pipelines to ensure efficient data processing Work with data scientists to create and deploy machine learning models Continuously refine and improve data integration solutions to meet changing business requirements Stay informed about emerging trends and technologies in data software engineering Requirements A minimum of 3 years of experience in data software engineering or a related role Advanced proficiency in Apache Spark, Microsoft Azure, and Python Deep understanding of forecasting models, MLOps practices, and data science concepts Hands‑on experience with Databricks for building and optimizing data pipelines Proven ability to deploy data science models in production environments Proficiency in using Git for version control Strong knowledge of Azure concepts, including clouds, regions, ADLS, and compute services Exceptional analytical and problem‑solving skills, with the ability to think critically and innovate solutions Experience working in Agile development environments Strong written and verbal English communication skills at a B2+ level Nice to have Experience with Panda for data manipulation and analysis In‑depth knowledge of SQL and relational database systems Understanding of statistical models and experience developing them using Python or Spark Familiarity with machine learning tools and technologies We offer International projects with top brands Work with global teams of highly skilled, diverse peers 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 #J-18808-Ljbffr