Senior Data Engineer

Requirements

• Minimum 6 years of data engineering experience, including significant exposure to production-grade data platforms and cross-team leadership
• Deep hands‑on experience with a modern cloud lakehouse in production-grade environments (e.g. Snowflake, Databricks, …)
• Strong expertise in analytical data modeling (including medallion architecture) and safe schema evolution
• Proven experience designing scalable, incremental ELT pipelines
• Strong understanding of MPP systems and distributed data processing principles
• Experience optimizing query performance and compute cost in cloud data warehouses
• Cost‑aware design mindset
• Advanced proven experience with Airflow, including scalable DAG design, dependency management, and failure handling strategies
• Strong experience designing and operating production‑grade ELT pipelines using modern integration tools (e.g. Airbyte or similar) or custom i...