Передусім, Київстар — це український телекомунікаційний оператор, послугами якого користується понад 26 млн абонентів. Київстар входить до складу міжнародної групи VEON Ltd, офіс якої знаходиться у Нідерландах. Акції Групи торгуються на фондових біржах NASDAQ, Нью-Йорк та Euronext, Амстердам.
9 июня 2021

Big Data Engineer


Within the digital transformation strategy, Kyivstar is constantly improving it’s data management platform (DMP) based on BigData technologies, Hadoop ecosystem and cloud computing. We operate on-premise cluster having 1000+ cores/10+TB RAM, processing up to 5 TB of data daily.
One of the streams is development and implementation of data-products for internal and external customers using BigData and Machine Learning technologies. So we are hiring Big Data Engineers — experts with practical skills in data procesing using OpenSource tools.

We offer:
A unique experience of working for the largest and most beloved mobile operator in Ukraine;
• Real opportunity to ship digital products to millions of customers;
• A competitive salary;
Annual bonus
Paid sick leave and vacation
Financial aid in different life situations
Possibility to work remotely at regular intervals
Flexible working hours
• Medical and life insurance;
• Great possibilities for professional development and career growth;
• Friendly & Collaborative Environment
• Microsoft Azure certification

• 1+ year of experience in software development
• Strong knowledge of CI/CD principles, hands-on experience with Git
• Experience with Python or Scala for Apache Spark, advanced SQL
• A background in Linux system administration (bash scripting, cron jobs, etc.)
• Knowledge of Hadoop stack

Will be a plus:
• Experience with Docker/K8
• Knowledge of DataScience libs (SparkML, scikit-learn, pandas etc.)
• Experience with Apache NiFi
• Good knowledge of data analysis in enterprises
• Cloud Data Engineer certificate
• Work closely with DataScientists and contribute to DataScience ecosystem development (model monitoring/alerting, featurestore, AutoML etc.)
• Develop ETL processes for ML pipelines
• Deploy ETL+ML pipelines within internal schedule tool
• Review and optimize Python/Scala code