Senior Data Engineer

We will trust you with

• Building and supporting data processing pipelines on the Spark on Kubernetes stack (Scala and SQL API), Airflow, ClickHouse and Python.
• Optimization of infrastructure (optimal selection of memory size, cores, disks, instance types) for data processing tasks.
• Helping analysts build complex data processing pipelines in Airflow.
• Organization of processes for systematic data collection from different sources using different protocols.
• Development of an infrastructure for solving product analytics problems based on ClickHouse.

What we expect from you

• Experience as a Data Engineer or similar position for at least three years.
• Ability to build ETL on Apache Spark.
• Understanding of how to implement orchestration on Apache Airflow.
• Knowledge of SQL and the ability to understand Python code.
• Experience working with S3.
• Experience in working with databases and query optimization.

What we offer

• An opportunity to contribute significantly to a globally successful project within a stable international company.
• Relocation to Serbia, or Armenia, or another destination upon our mutual agreement.
• Relocation program and assistance with paperwork for residence in countries where our offices are located.
• Competitive salary, reviewed every 6 months based on market trends and your performance.
• Flexible work setup: whether you prefer coming to the office, working from home, or a hybrid of the two, the choice is yours.
• Flexible benefits: an annual $1000 to spend on perks, including health insurance, sports, therapy, education and language classes.
• Full pay during sick leaves and personal leaves, in addition to 20 working days of vacation annually.