- Design, develop, and maintain scalable data pipelines using DBT, Snowflake, and Python
- Build and manage data transformation workflows using DBT (models, macros, testing, and documentation)
- Develop productive data ingestion and processing pipelines using Python
- Optimize Snowflake data models, queries, and performance for large-scale datasets
- Ensure data quality, reliability, and consistency through testing and validation frameworks
- Collaborate with data analysts, business teams, and stakeholders to understand data requirements
- Implement best practices for data modeling, version control, and pipeline orchestration
- Monitor and troubleshoot data pipeline issues and performance bottlenecks
- Maintain clear and structured documentation for data workflows and pipelinesRole & responsibilities

Preferred candidate profile

- Experience working in cloud environments (AWS, Azure, or GCP)
- Familiarity with CI/CD practices for data pipelines
- Exposure to real-time or streaming data pipelines is a plus
- Experience in enterprise-scale data platforms

📌 Data Engineer (Hyderabad)
🏢 3shool Technology Consultants
📍 Hyderabad