Senior Data Engineer

📋 Description

• Build and own end-to-end data pipelines (ingestion → staging → marts) using Snowflake, Airflow, Fivetran, and DBT.
• Work directly with raw data; identify issues and implement fixes in base and staging layers before they propagate downstream.
• Design data models that are simple, scalable, and trusted by the business.
• Write advanced, high-performance SQL.
• Use Python for ETL automation and scripting.
• Build and enforce data quality checks; monitor pipelines proactively.

🎯 Requirements

• 5+ years of hands-on data engineering experience - including administration or support.
• Fintech or similarly data-intensive environments preferred.
• Expert-level SQL: joins, window functions, performance trade-offs.
• Proven experience building data models and marts from raw, imperfect source data.
• Solid Python skills applied to practical data engineering problems.
• Hands-on experience with Snowflake, Airflow, Fivetran, and DBT.