data engineer in Big Data

EPAM provides enterprise software products, open source solutions, and technology accelerators.

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

• Minimum 2 years of commercial Python coding experience;
• Proficiency in SQL;
• Experience with Azure, AWS, or GCP;
• Proficiency in using AI tools such as ChatGPT and Claude to improve development efficiency;
• Analytical problem-solving skills;
• Excellent interpersonal and communication abilities;
• B2+ command of English;
• Nice to have: Solid understanding of CI/CD principles and best practices, exposure to Databricks, experience with Pandas, experience in high-load and IoT Data Platform architectures and infrastructures, knowledge of Docker and Kubernetes.

• Remote work from Poland;
• Immediate employment as a Data Software Engineer from day one according to seniority level;
• Python upskilling with data knowledge during the first two months;
• Opportunity to work on Big Data projects after successfully attaining Databricks certification provided by the company;
• Employment opportunity at one of Poland's significant and growing IT companies.