Full Stack Data Engineer

📋 Description Design, develop, and maintain scalable data pipelines for batch and near-real-time use cases Build and optimize Snowflake schema, models, and warehouse performance Integrate data from APIs, databases, SaaS, and enterprise systems into a unified warehouse Implement ETL/ELT workflows with dbt, Airflow, or similar tools Ensure data quality, reliability, governance, and proper documentation Develop executive dashboards and reports using Tableau and/or Power BI 🎯 Requirements 4–7 years in Data Engineering, BI/analytics roles Hands-on Snowflake: schema design, performance tuning Advanced SQL and Python for data transformation/pipelines Experience with dbt, Airflow, or similar ETL/ELT tools Strong Tableau and/or Power BI for dashboards Cloud environments (AWS, Azure, or GCP) 🎁 Benefits At the forefront of AI-powered enterprise data transformation Exposure to PE-backed organizations modernizing at scale High autonomy with ownership and measurable outcomes Collaboration with global data, AI, and enterprise teams Certification and development support (Snowflake, Tableau, Power BI, dbt) Flexible remote-first work environment