Position: Big Data Engineer
Category: Data Engineer
English level: upper
Years of experience: 7

1. Significant performance enhancements for different clients.
2. Expenditure reductions.
3. Participated in a few large customers acquisition for the company.
1. Development of different infrastructures and processes
for Big Data purposes (bare metal, cloud, k8s) with
different stack types (Spark, Kafka, Hive, HBase, Yarn, Spark Standalone, Spark on k8s, MongoDB, Mysql, some
specific NoSql and SQL databases, Livy)

2. Cloud system development

3. DevOps related tasks (large K8S clusters setup and
administrating, CI process management with Jenkins, development, and management of internal infrastructure
project on Ansible, networks management), docker images
refactoring, helm charts development
Involving in apache products improvements
QA-related tasks (performance testing, setting up the
the testing process)

4. Teams management

5. Projects audit and performance enhancement

6. Presale activities (presentations, communications with clients, etc.)
I want to be engaged in near to life project that makes some real stuff with a lot of benefits for real world