Middle Data Engineer
The Data Engineering team is responsible for the data infrastructure: collecting, storing, and processing game and product metrics. We help analysts and product teams work with data quickly, reliably, and at the required scale.
Tasks that you have to work with:
- Develop and maintain DAGs for Apache Airflow
- Configure CDC (Change Data Capture) processes to transfer production data to the analytics warehouse
- Develop and optimize data views using SQL for analytical tasks
- Develop data transformations based on Apache Flink
- Monitor data quality using data quality tools and optimize data processing
It will help you with this:
- Proficiency in Python and Java
- In-depth understanding of and experience working with SQL
- Experience with Apache Kafka, Apache Airflow, dbt, Great Expectations, Apache Flink, Apache Trino/Presto, Hive, Docker, MongoDB, PostgreSQL, AWS
Would be a plus:
- Experience with Apache Spark, Kubernetes, CI/CD, Helm, Terraform
- Scala programming skills
You'll find it here:
- The opportunity to influence product development, contribute your ideas and test hypothesesFlexible work schedule
- A culture focused on innovation, creativity and teamwork
- Caring for employees, which you will notice both personally and through useful benefits.
And more about the benefits:
- Health insurance
- Official registration
- The opportunity to work from comfortable offices in different countries, or remotely
- English Language Courses
- Corporate Library
- Compensation for sessions with a psychologist
- Sports season ticket compensation
- Paid parking
