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