🛠 Tech Stack

💼 About This Role

You'll own the full data ecosystem, building robust pipelines and data models to support analytics and AI initiatives. You'll collaborate with cross-functional teams to translate business goals into technical requirements, ensuring data accessibility and reliability. This role combines deep technical expertise with business strategy in a startup environment where you'll wear multiple hats and drive innovation from day one.

🎯 What You'll Do

• Build and maintain robust data pipelines and ETL processes.
• Design and manage data warehouses for advanced analytics.
• Collaborate with cross-functional teams to translate business goals into technical requirements.
• Optimize data pipelines using SQL and Python expertise.

📋 Requirements

• 5+ years of experience in data engineering roles.
• Ninja-level proficiency in SQL and Python.
• Expertise in architecting data pipelines with tools like Fivetran, Snowflake, and DBT.
• Business intuition to present complex data insights to technical and non-technical stakeholders.

✨ Nice to Have

• Familiarity with cloud platforms like AWS and big data technologies such as Snowflake.
• Proven experience leading data engineering projects.
• Experience in small team startup environments.