Data Software Engineer: Hybrid, Cloud & AI Certification

EPAM Systems; Polska; Hybrid; PLN 180,000 - 260,000; Full time

Benefits offered by this job

Hybrid work model

Remote work within Poland

Work abroad up to 60 days annually

Certification programs (Anthropic, Gem

Gemini, GCP, Azure, AWS)

Employee Stock Purchase Plan with 15%

discount

Job summary

EPAM Systems is seeking an experienced Data Software Engineer to expand expertise in data-driven software delivery. You will advance Python and SQL capabilities, work with Cloud, Big Data, and NoSQL technologies, and collaborate across product and engineering teams to shape decision-making.

The role emphasizes Cloud Native and Hybrid solutions, with opportunities to pursue Databricks certification and access to OpenAI/Anthropic programs, fostering a high-performance engineering culture within a

Qualifications

• Proficiency in Python and SQL.
• Experience with Cloud platforms (Azure, AWS, or GCP).
• Practical experience with GenAI/LLM tools within the AI SDLC.
• Excellent interpersonal and communication abilities; B2+ English.

Responsibilities

• 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.

Skills

Python

SQL

Cloud platforms

GenAI/LLM tools

English (B2+)

Tools

Databricks

Docker

Kubernetes

Pandas

Job description

EPAM Systems is seeking an experienced Data Software Engineer to expand expertise in data-driven software delivery. You will advance Python and SQL capabilities, work with Cloud, Big Data, and NoSQL technologies, and collaborate across product and engineering teams to shape decision-making.

The role emphasizes Cloud Native and Hybrid solutions, with opportunities to pursue Databricks certification and access to OpenAI/Anthropic programs, fostering a high-performance engineering culture within a