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. The company has over thirty years of expertise in custom software, product and platform engineering, helping clients become AI-Native enterprises.

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

Nice to have:

• Solid understanding of CI/CD principles and best practices
• Experience with Spark
• 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

Benefits listed are available to employees only. The company is also open to working with Contractors with B2B agreements negotiated individually. Only selected candidates will be contacted for recruitment.