• Develop and Maintain Data Pipelines: Design, build, and manage scalable data pipelines using our ETL system Keboola, ensuring efficient data extraction, transformation, and loading processes.
• Programming: Write and maintain Python scripts for data processing, automation, and integration tasks within the cloud environment.
• Data Querying and Management: Utilize SQL for data querying, management, and optimization to support business intelligence and analytics.
• Operational Support: Provide operational support for data systems, including monitoring and basic troubleshooting.

• Deep understanding of SQL, analytical data warehouses (e.g., Snowflake), and hands-on experience with ETL/ELT best practices
• Proficiency in Python, underscored by a track record of deploying high-quality code in production environments
• Familiarity with Git, Jira
• Proven experience in data engineering or a similar role
• Experience in building and maintaining data pipelines
• Good problem-solving skills and attention to detail
• Good communication skills and the ability to work collaboratively with the engineering team and other teams to identify and fulfill data requirements
• Willingness to bring new ideas and learn new technologies

• Ensuring data availability of all key dimensions and metric across the company reporting
• Ensure the reliability and stability of data flows, minimizing downtime and ensuring data availability for business processes
• Monitoring of the cost-effectiveness of data processing and storage solutions, promoting budget management and cost savings.