Senior Data Software Engineer

EPAM is a leading global provider of digital platform engineering and development services. The company embraces a dynamic and inclusive culture, collaborating with multi-national teams on innovative projects delivering cutting-edge solutions.

• 6-9 years of hands-on experience in developing large scale applications using data virtualization and/or data streaming technologies
• Background as a software engineer/developer focused on cloud-based data virtualization and data delivery technologies
• Proficiency in Python for coding and development
• Familiarity with .NET, C# or Java in case of no hands-on experience in Python
• Expertise in Python data access libraries (Numpy, Scipy, pandas)
• Knowledge of machine learning frameworks (Tensorflow) and AI libraries (ChatGPT)
• Skills in designing, planning and delivering solutions in a large scale enterprise environment
• Capability to determine technical approaches and define appropriate methodologies
• Understanding of AGILE SDLC and ability to work in a collaborative, multi-site environment
• Competency in effectively communicating technical analyses, recommendations and results to project stakeholders
• English proficiency at B2 level or higher

• Engineer solutions focused on data virtualization, distributed processing and cloud-based large data storage architecture
• Design and implement a highly scalable and reliable data distribution solution using Python, Spark and open-source technologies to deliver data to business components
• Work with ADLS, Databricks and Kafka along with Denodo, data modeling and data replication for handling large data sets
• Apply clustering, SQL query patterns and indexing techniques to support large-scale data operations
• Define technical approaches to be used and determine the appropriate methodologies
• Collaborate with solution architects and business analysts to define implementation design and coding of assigned modules with the highest quality
• Apply standards, methods, techniques and templates defined by the SDLC including code control, code inspection and code deployment
• Design, plan and deliver solutions in a large scale enterprise environment
• Produce secure and clean code that is stable, operational, consistent and well-performing
• Communicate technical analyses, recommendations, status and results effectively to the project management team
• Operate in a collaborative, multi-site environment to support rapid development and delivery of results and capabilities (AGILE SDLC)

Please note that working from the office 3 days per week is required.