About the Role
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
Originally posted on Himalayas
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