Czym będziesz się zajmować? Develop and maintain data pipelines, ensuring smooth ETL/ELT workflows.Work with database platforms such as Hive, Hadoop, MS SQL Server, PostgreSQL, and ClickHouse.Utilize Python, Spark, PySpark, and other relevant technologies for processing and analyzing large datasets.Implement and manage data orchestration using tools like Airflow or Dagster.Apply DevOps practices, particularly within Microsoft Azure, to enhance data solutions.

Kogo poszukujemy? Essential:Python, Spark, PySpark, PySQL, R ETLHive, Hadoop, MS SQL Server, PostgreSQL, ClickHouseAirflow, DagsterExperience with data pipeline development and managing ETL/ELT workflows.Proficiency in database platforms such as Apache Hive, Hadoop, MS SQL Server, PostgreSQL, or ClickHouse.Hands-on experience with data orchestration tools like Airflow or Dagster.Additional Valued Skills:Familiarity with marketing data sources, such as consumer panels, retail scanning, survey data, Google Ads, Google Analytics, Facebook Insights, etc.Experience with ETL tools (e.g., SSIS).Background in data science or related fields.DevOps knowledge, especially within Microsoft Azure.Strong proficiency in English.