Snowflake DBT Data engineer
Summary
A mid-to-senior data engineering role in Hyderabad focused on designing and building scalable data pipelines and transformation workflows using Snowflake and DBT. Day-to-day work covers ETL/ELT development, data modeling, performance tuning, and data governance, with optional exposure to Azure Data Factory, Airflow, and cloud CI/CD.
Job Description
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.