Senior Data Software Engineer

hace 3 semanas


Quilmes, Argentina EPAM Systems A tiempo completo

Overview We are looking for a remote Senior Data Software Engineer to join our team. This role requires an experienced professional with strong expertise in Apache Spark, Microsoft Azure, and Python. You will be contributing to a high-profile project for a globally recognized brand, developing advanced data solutions that drive business success and innovation. Responsibilities Collaborate with cross-functional teams to design, develop, and maintain data integration solutions Create and optimize data pipelines using Apache Spark, Microsoft Azure, and Python Ensure data pipelines are robust, scalable, and easy to maintain Transform data science models into production-ready systems Build and manage forecasting models to support critical business decisions Ensure consistent data quality and integrity across all sources Monitor and refine data pipelines to improve performance and efficiency Partner with data scientists to design and deploy machine learning models Continuously enhance data integration solutions to meet evolving business needs Stay updated on the latest technologies and trends in data software engineering Requirements At least 3 years of experience in data software engineering or a similar role Expertise in Apache Spark, Microsoft Azure, and Python Strong knowledge of forecasting models, MLOps practices, and data science principles Hands-on experience with Databricks for creating and optimizing data pipelines Proven ability to operationalize data science models for production environments Proficiency with Git for version control and collaboration Solid understanding of Azure concepts such as clouds, regions, ADLS, and compute services Exceptional analytical and problem-solving skills with a creative approach to technical challenges Experience working in Agile development environments Advanced English communication skills, both written and verbal, at a B2+ level Nice to have Experience with Panda for data manipulation and analysis Advanced knowledge of SQL and relational database systems Understanding of statistical models and experience developing them with Python or Spark Familiarity with tools and technologies related to machine learning 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



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