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.

　　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 SparkWE 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 61,600+ 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 excellenceEPAM Systems, Inc. is an equal opportunity employer. We recognize the value of diversity and inclusion in creating success for our customers, business partners, shareholders, employees and communities. We are committed to recruiting, hiring, developing and promoting employees without discrimination. As a global employer, this commitment includes complying with all laws in the countries in which we operate. Nevertheless, we believe equal employment practices should not be limited to what the law requires. Equal opportunity and inclusion are essential to motivate, empower and recognize the best in everyone.

　　At EPAM, employment actions are based on individual qualifications, without regard to race, color, religion, creed, gender, pregnancy status, sexual orientation, gender identity, gender expression, marital or familial status, national origin, ancestry, genetics, age, disability status, veteran status, citizenship status when otherwise legally able to work, or any other characteristic protected by law.