Data Engineer (Machine Learning) in Kyivstar.Tech

Our company continues to grow actively, so we're currently seeking an Data Engineer (Machine Learning) to join our newly established outsourcing team. This role involves developing a new direction within the company and collaborating with clients of various sizes and industries, including Kyivstar, to deliver software development services tailored to their specific requirements.About usKyivstar.Tech is a Ukrainian hybrid IT company and a resident of Diia.City. We are a subsidiary of Kyivstar, one of Ukraine's largest telecom operators.Our mission is to change lives in Ukraine and around the world by creating technological solutions and products that unleash the potential of businesses and meet users' needs.Over 500+ KS.Tech specialists work daily in various areas: mobile and web solutions, as well as design, development, support, and technical maintenance of high-performance systems and services.We believe in innovations that truly bring quality changes and constantly challenge conventional approaches and solutions. Each of us is an adherent of entrepreneurial culture, which allows us never to stop, to evolve, and to create something new.What you will doDesign, build, and maintain efficient, reusable, and reliable data pipelines to support machine learning modelsWork closely with data scientists to implement and deploy scalable machine learning modelsEnsure data quality and integrity throughout our data architectureOptimize data retrieval, develop dashboard solutions, and perform data analysis to support business decisionsStay updated with advances in data persistence and big data technologiesIncorporate new data management technologies and software engineering practices into existing structures.Qualifications and experience neededProven experience as a Data Engineer or in a similar role, with a focus on machine learning projectsStrong programming skills in Python, including experience with Pandas, NumPy, and Scikit-learnExperience with big data tools (Hadoop, Spark)Experience with data processing architectures (Lambda, Kappa)Proficiency in building and optimizing 'big data' data pipelines, architectures, and data setsExperience with machine learning algorithms and how to scale themFamiliarity with data pipeline and workflow management tools: Luigi, Airflow, etc.Knowledge of cloud services (AWS, Google Cloud Platform, Azure) and their data processing toolsA solid understanding of SQL and experience with relational databases, as well as NoSQL databasesStrong analytical skills related to working with unstructured datasetsUpper-intermediate English levelBachelor’s degree in computer science, Engineering, Mathematics, or a related field.What we offerOffice or remote — it's up to you: you can work from anywhere, and we will arrange your workplaceRemote onboardingPerformance bonuses for everyone (annual or quarterly — depends on the role)We train employees: with the opportunity to learn through the company’s library, internal resources, and programs from partnersHealth and life insuranceWellbeing program and corporate psychologistReimbursement of expenses for Kyivstar mobile communicationShow more Show less Position level Senior secondary level Type of employment Full-time Job responsibilities Information Technology Industries Software development