Senior Data Software Engineer (Databricks upskilling program)

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

• Proficiency in Python and SQL
• ETL/ELT experience
• Experience with Cloud platforms (Azure, AWS, or GCP)
• Practical experience with GenAI/LLM tools (e.g., ChatGPT, Claude) within the software/data delivery lifecycle (AI SDLC)
• Excellent interpersonal and communication abilities
• B2+ command of the English language

Nice to have:

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

• Formulate and execute innovative analytical solutions using Cloud Native, Big Data, and NoSQL-centric technologies
• Develop and implement Cloud, On-Premise, and Hybrid solutions utilizing superior data frameworks
• Collaborate with product and engineering teams to understand and drive decision-making
• Maintain synergy with architects, technical leads, and key individuals within other functional teams
• Analyze business and technical environment problems and leverage insights to design and implement quality technical solutions
• Engage in code reviews and test solutions to ensure adherence to best practice specifications
• Promote and uphold a high-performance engineering culture
• Write comprehensive project documentation