- Min 4-5 years of hands-on experience with Python and SQL
- Background in data engineering, including building and maintaining data pipelines
- Experience working with large and complex datasets
- Experience with applying AI/ML techniques in practical use cases
- Experience using large language models (LLMs) to automate or enhance workflows
- Strong problem-solving skills and ability to work in a dynamic, evolving environment
🔹 Nice to have
- Experience with DBT
- Exposure to modern data stack and cloud-based data platforms