📋 Description

• Build, maintain, and operate reliable data pipelines that support daily reporting, attribution, LTV
• Ingest and transform data from advertising platforms, payment systems, and product backends into
• Orchestrate scheduled data workflows using Apache Airflow and ensure critical jobs complete
• Maintain accurate and reliable silver and gold data tables while implementing appropriate data
• Proactively identify, troubleshoot, and resolve pipeline and production issues, including
• Develop and improve processes, tools, and data solutions that enhance operational efficiency and

🎯 Requirements

• Proven experience in data engineering, with strong hands-on expertise in Python, SQL, Spark, and
• Experience with Databricks technologies such as Unity Catalog and Delta.
• Practical experience with Apache Airflow for workflow orchestration and scheduled production data
• Experience with Google Cloud Platform, particularly Google Cloud Storage (GCS) and BigQuery.
• Strong analytical and problem-solving abilities, with a strategic and structured approach to
• Experience taking ownership of production data environments, including scheduled jobs, data quality

🎁 Benefits

• Competitive salary and full-time permanent employment.
• Flexible working arrangements with the option to work fully remotely.
• Flexible start and end times to support work-life balance.
• Free Friday afternoons through a 7-hour workday.
• 35-hour workweek during July and August.
• 25 days of vacation plus an additional day off for your birthday.