Position: Data Engineer
Category: Data Engineer
English level: upper
Years of experience: 2.5


Skills:
- Languages: Bash, Python, HiveQL, PL/SQL, Scala (Spark)
- ETL-orchestrators: Jenkins, Airflow, Streamsets, Tidal Automation
- RDBMS: Postgres, MySQL, Oracle
- Hadoop ecosystem: Hive, Impala, Kudu, Sqoop, HDFS, YARN
- Snowflake
- Kafka, Zookeeper
- Spark
- a little bit of AWS: DynamoDB, S3, Athena
- git/svn
- Tableau

Work experience:
Data Integration Engineer
GameDev Company // Nov 2021 - present
- maintaining DWH & ETL processes (up to 2 petabytes of data daily)
- integrating data from Kafka, databases, and APIs to Hadoop/Snowflake
- query tuning & optimizing jobs (up to 10x faster)
- creating internal tools for metadata collection

Data Analyst
Startup - Mobile Apps // Dec 2020 - Nov 2021
- optimizing and maintaining internal BI system using python and Apache Airflow
- working with databases (PostgreSQL, DynamoDB)
- creating forecasting algorithms and improving the accuracy of the existing ones
- preparing analytical reports (Tableau)
- conducting researches

Education:
Master's Degree (currently pursuing) - University of Vienna, Faculty of Computer Science
Bachelor's Degree - Taras Shevchenko National University of Kyiv, Faculty of Computer Science and Cybernetics
- preferably startup/product
- diversity of data-tools
- flexible work schedule