Data Engineer (Machine Learning) in Kyivstar.Tech

Our company continues togrow actively, sowe’re currently seeking anData Engineer (Machine Learning) tojoin our newly established outsourcing team. This role involves developing anew direction within the company and collaborating with clients ofvarious sizes and industries, including Kyivstar, todeliver software development services tailored totheir specific requirements.AboutusKyivstar.Tech isaUkrainian hybridIT company and aresident ofDiia.City. Weare asubsidiary ofKyivstar, one ofUkraine’s largest telecom operators.Our mission istochange lives inUkraine and around the world bycreating technological solutions and products that unleash the potential ofbusinesses and meet users’ needs.Over 500+KS.Tech specialists work daily invarious areas: mobile and web solutions, aswell asdesign, development, support, and technical maintenance ofhigh-performance systems and services.Webelieve ininnovations that truly bring quality changes and constantly challenge conventional approaches and solutions. Each ofus isanadherent ofentrepreneurial culture, which allowsus never tostop, toevolve, and tocreate something new. What you will doDesign, build, and maintain efficient, reusable, and reliable data pipelines tosupport machine learning models Work closely with data scientists toimplement and deploy scalable machine learning models Ensure data quality and integrity throughout our data architecture Optimize data retrieval, develop dashboard solutions, and perform data analysis tosupport business decisions Stay updated with advances indata persistence and big data technologies Incorporate new data management technologies and software engineering practices into existing structures. Qualifications and experience neededProven experience asaData Engineer orinasimilar role, with afocus onmachine learning projects Strong programming skills inPython, including experience with Pandas, NumPy, and Scikit-learn Experience with big data tools (Hadoop, Spark) Experience with data processing architectures (Lambda, Kappa) Proficiency inbuilding and optimizing ’big data’ data pipelines, architectures, and data sets Experience with machine learning algorithms and how toscale them Familiarity with data pipeline and workflow management tools: Luigi, Airflow, etc. Knowledge ofcloud services (AWS, Google Cloud Platform, Azure) and their data processing tools Asolid understanding ofSQL and experience with relational databases, aswell asNoSQL databases Strong analytical skills related toworking with unstructured datasets Upper-intermediate English level Bachelor’s degree incomputer science, Engineering, Mathematics, orarelated field. What weofferOffice orremote— it’s uptoyou: you can work from anywhere, and wewill arrange your workplaceRemote onboardingPerformance bonuses for everyone (annual orquarterly— depends onthe role)Wetrain employees: with the opportunity tolearn through the company’s library, internal resources, and programs from partners Health and life insuranceWellbeing program and corporate psychologistReimbursement ofexpenses for Kyivstar mobile communication