data engineer in AI and advertising technology

Grid Dynamics provides technology consulting, platform and product engineering, AI, and advanced analytics services. The company helps enterprise organizations address complex technology challenges and achieve business outcomes during business transformation.

• Develop and optimize data pipelines using Python;
• Work with scikit-learn and XGBoost to support model deployment;
• Use KServe and Kubernetes for model serving and deployment;
• Understand and maintain legacy Scala-based implementations without active Scala development;
• Collaborate with cross-functional teams to integrate data engineering solutions;
• Support existing Java/Gradle-based workflows as needed;
• Potentially contribute to UI development tasks involving JavaScript and Node.js.

• At least 3 years of Python experience or existing Scala knowledge;
• 1–2 Years of Java/Scala experience;
• 2–3 Years of SQL experience;
• 2–3 Years of Spark experience;
• In-depth familiarity with concepts and architecture, including experience debugging jobs;
• 1–2 Years of AWS experience;
• Experience deploying ML models at scale;
• Hands-on experience with cloud platforms and container orchestration;
• Strong problem-solving skills and ability to work in a collaborative environment;
• Nice to have: Exposure to UI technologies such as JavaScript and Node.js, basic familiarity with ML processes.

• Competitive salary;
• Flexible schedule;
• Medical insurance and sports benefits;
• Corporate social events;
• Professional development opportunities;
• Well-equipped office.