Job Description
📋 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.
