data engineer for recommendation engines

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

• Architect, develop, and maintain efficient ELT pipelines utilizing Kubeflow;
• Execute and support the migration of massive datasets between data platforms, ensuring data integrity and minimal downtime;
• Collaborate with machine learning and software engineers to optimize the data architecture for a new, high-visibility recommendation model;
• Write clean, scalable, and highly optimized code in Python and SQL for data transformation and processing.

• Active GCP Certification is mandatory;
• Extensive hands-on professional experience with Google Cloud Platform;
• Strong programming expertise in Python;
• Advanced proficiency in SQL;
• Deep experience with Kubeflow or Apache Airflow;
• Solid working knowledge of Google BigQuery and Apache Spark for large-scale data processing;
• Proven track record in data pipeline development, data integration, and complex migration projects.

• Opportunity to work on bleeding-edge projects;
• Work with a highly motivated and dedicated team;
• Competitive salary;
• Flexible schedule;
• Benefits package including medical insurance and sports benefits;
• Corporate social events;
• Professional development opportunities;
• Well-equipped office.