Data Software Engineer (Upskilling position for Python Developers)

EPAM is a global leader in AI transformation engineering and integrated consulting, serving Forbes Global 2000 companies and ambitious startups. With over thirty years of expertise in custom software, product and platform engineering, it empowers clients to become AI-Native enterprises, driving measurable value from innovation and digital investments.

• Minimum 2 years of commercial experience in Python coding
• Proficiency in SQL
• Experience with Cloud platforms: Azure, AWS, or GCP
• Skills and experience using AI tools (e.g., ChatGPT, Claude) to improve development efficiency
• Analytical problem-solving skills
• Excellent interpersonal and communication abilities
• English language proficiency at B2+ level

Nice to have:

• Solid understanding of CI/CD principles and best practices
• Exposure to Databricks
• Experience with Pandas library
• Experience in high-load and IoT Data Platform architectures
• Knowledge of Docker and Kubernetes

• Formulate and execute analytical solutions using Cloud Native, Big Data, and NoSQL-centric technologies
• Develop and implement Cloud, On-Premise, and Hybrid solutions using advanced data frameworks
• Collaborate with product and engineering teams to support decision-making
• Coordinate with architects, technical leads, and other functional teams
• Analyze business and technical problems to design and implement technical solutions
• Perform code reviews and test solutions for quality adherence
• Promote a high-performance engineering culture
• Write comprehensive project documentation

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