Огляд статистики зарплатні професії "Молодший вихователь в Дніпропетровській області"

Учебно-развивающий центр «Еasy Go» приглашает на работу девушек/женщин для работы в детской комнате. Нужна няня для детей, во время занятий их родителей в учебном центре, дети в основном младшего школьного возраста. Работа на неполный рабочий день. ЗП один раз в месяц 11200. Будем рады видеть в своей команде сотрудника с любовью к детям, умением их организовать и завлечь игрой. Педагогическое или психологическое образование приветствуется, готовы рассмотреть студентов старших курсов. Основная ваша задача это создание комфортных и психологически теплых условий в детской комнате, а также поддержание порядка и чистоты в игровой зоне. Для записи на собеседования обращайтесь Пн-Пт 9-18Тел.: 096-З95-05-47, 066-008-24-7ЗРезюме не рассматриваются!Юлия Александровна

Description We are seeking a highly skilled and motivated Data Software Engineer for our Machine Learning Engineering (MLE) team in Ukraine. As a Data Software Engineer, you will play a crucial role in developing and optimizing data-driven solutions, with a focus on Machine Learning. The successful candidate will have a strong background in Data Software Engineering, proficiency in Python and SQL, and experience working with cloud platforms such as Azure, AWS, or GCP. Knowledge of Databricks and Spark is considered a plus.Retraining/Upskilling Format: The selected candidate will undergo a two-month training period as part of the probation. The successful completion of the probation will be contingent upon obtaining a Databricks certification, with the associated costs covered by EPAM.If you are a passionate Data Software Engineer with a strong interest in Machine Learning, and you meet the specified requirements, we invite you to apply and join our dynamic team in Ukraine. Together, we will drive innovation and contribute to the evolution of cutting-edge data solutions.The remote option applies only to the Candidates who will be working from any location in Ukraine.#LI-IRINABENKO Responsibilities Collaborate with the MLE team to design and implement data-driven solutions Develop and maintain data pipelines for machine learning applications Utilize Python and SQL to manipulate and analyze large datasets Work with cloud platforms, with a priority on Azure, AWS, or GCP Explore and implement advanced data processing techniques using Databricks and Spark Participate in code reviews, debugging, and troubleshooting to ensure high-quality deliverables Engage in continuous learning and stay updated on emerging trends in data engineering and machine learning Requirements 4+ years of hands-on experience in Software Engineering roles Bachelor's degree in Computer Science, Data Science, or related field Proficient in Python (must have) Strong SQL skills (must) Experience with at least one cloud platform (Azure, AWS, GCP) Upper-intermediate or higher English level, both spoken and written (B2+) Nice to have Familiarity with Databricks and Spark We Offer Competitive compensation depending on experience and skills The individual career path Social package - medical insurance, sports Compensation for sick lists and regular vacations English classes with certified English teachers Unlimited access to LinkedIn learning solutions Flexible work hours About EPAM EPAM is a leading global provider of digital platform engineering and development services. We are committed to positively impacting our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to learn and grow continuously. You will join a dedicated, creative, and diverse community that will help you discover your fullest potential. EPAM is committed to providing our global team of 61,+ EPAMers with inspiring careers. EPAMers lead with passion and honesty and think creatively. Our people are the source of our success, and we value collaboration, try always to understand our customers' business, and strive for the highest standards of excellence