We are seeking a skilled and detail-oriented Data Developer with strong experience in modern data engineering tools and practices. The ideal candidate will have proven expertise in DBT Core, DBT Cloud, Snowflake, and Python, combined with the ability to develop Streamlit applications and follow best practices in software development.
This role requires someone who is comfortable working in Visual Studio Code, applying Agile methodologies, and collaborating in English at a high level (both spoken and written).
Responsibilities
Design, build, and maintain data pipelines using DBT Core and DBT Cloud
Develop and optimize data models on Snowflake SaaS database
Build and deploy Streamlit applications using Python and HTML
Apply industry-standard application development best practices (e.g., SOLID principles, CI/CD, testing strategies)
Collaborate with cross-functional teams in an Agile environment
Write clean, maintainable, and well-documented code in Visual Studio Code
Communicate technical concepts clearly in English, both verbally and in writing
Qualifications
Strong proficiency in English communication (spoken and written)
DBT Core: Hands-on development experience
DBT Cloud: Practical development experience
Snowflake SaaS Database: Proven track record of usage and optimization
Python: Intermediate to Expert level proficiency
HTML: Intermediate to Expert level proficiency
Visual Studio Code: Comfortable using it as the main development environment
Familiarity with application development best practices (e.g., SOLID, CI/CD, testing, clean code)
Experience working within Agile methodology
Nice to Have
Experience deploying data-driven applications
Background in building data products for business stakeholders
Exposure to modern data stack tools beyond DBT/Snowflake
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