Position: Big Data ETL Engineer
Company: KYIVSTAR
Category: SQL
Experience required: 3y
Published: 2020-04-01T00:00:00+03:00

For the period of quarantine Kyivstar continues his work and takes care that our clients keep in touch with their relatives and friends, being duly provided with high quality information. 
Our activity hasn’t stopped and most of our employees work remotely. During this complicated period we conduct job interviews online, make job offers and arrange remote working mode for our candidates.  
Stay at home and we will take care of your job interview, making it comfortable and safe! 

Kyivstar is looking for a BigData Engineer to develop a platform for collection, processing and storing petabytes data. Built with open source technologies, the systems handle billions of records daily, generating terabytes of data. 

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. 
 
Requirements:
-          3+ years of programming experience or relevant ETL experience
-          Data formats knowledge and the differences between them
-          Solid experience with Hadoop stack
-          Experience with RDBMS and/or NoSQL 
-          Experience with Kafka
-          Understanding of processes design and development for data modeling, processing and analysis
-          Experience with Java and/or Scala and/or python
-          Knowledge of version control system: git or bitbucket
-         Background in test driven development, automated testing and other software engineering best practices (e.g., performance, security, BDD, etc.)
-          Docker/Kubernetes paradigm understanding

Responsibility:
-          Developing ETL flows based on Hadoop/BigData stack technology: Apache Nifi, Hive, Spark, Kafka 
-          Troubleshooting and performance optimization for data processing flows, data models