Senior Data Engineer

📋 Description

• Design, build data models and pipelines across the data lifecycle
• Own end-to-end system design decisions with clear tradeoffs
• Implement data governance and ensure data quality across the platform
• Ingest data from diverse enterprise sources and optimize pipelines
• Align with product roadmap to build data tooling for internal use
• Collaborate with stakeholders and adapt to changing requirements

🎯 Requirements

• 5–8 years building/operating production data pipelines and data platforms
• Expert SQL and strong Python for large-scale analytics
• Hands-on Snowflake experience (Snowpark, dynamic tables, data sharing, Cortex)
• Deep DBT expertise with modelling, testing, governance
• Strong Apache Airflow skills for DAG design and ops
• Understanding of dimensional modelling and data governance

🎁 Benefits

• Professional growth opportunities