Snowflake DBT Data engineer
Summary
A mid-to-senior data engineer role in Hyderabad building scalable cloud data pipelines and transformation workflows with Snowflake and DBT. Day to day involves SQL/data modeling, ETL/ELT pipeline development, performance tuning, and data governance, with Azure Data Factory, Airflow, and cloud platforms as pluses.
🚀 We're Hiring | Snowflake & DBT Data Engineer
Location: Hyderabad
Experience: 4–7 Years
We're looking for a skilled Data Engineer with strong expertise in Snowflake and DBT (Data Build Tool) to join our growing team. If you have experience building scalable cloud-based data platforms and modern ETL/ELT pipelines, we'd love to connect with you
Mandatory Skills
✅ Snowflake
✅ DBT (Data Build Tool)
✅ SQL & Data Modeling
✅ ETL/ELT Pipeline Development
✅ Data Warehousing Concepts
Good to Have
✔ Azure Data Factory (ADF)
✔ Apache Airflow
✔ AWS/Azure Cloud
✔ Git & CI/CD
Key Responsibilities
• Design and develop scalable data pipelines using Snowflake and DBT.
• Build and optimize data transformation workflows.
• Ensure data quality, performance tuning, and pipeline reliability.
• Collaborate with cross-functional teams to deliver data solutions.
• Implement best practices for data governance, security, and documentation.
Requirements
• 4–7 years of Data Engineering/Data Warehousing experience.
• Bachelor's degree in Computer Science, IT, or a related field.
• Strong analytical, problem-solving, and communication skills.
• Certifications in Snowflake, AWS, or Azure are an added advantage.