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

Киев

Project:
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

Requirements:
• 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
Responsibilities:
• 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

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