Role & responsibilities

- Design, develop, and maintain scalable ETL/ELT pipelines using Matillion.
- Build and optimize data warehouse solutions on Snowflake.
- Develop robust data processing frameworks and automation scripts using Python.
- Create and maintain data models, transformations, and workflows to support business analytics.
- Optimize Snowflake performance, including query tuning, clustering, and warehouse management.
- Integrate data from multiple structured and unstructured sources.
- Collaborate with business stakeholders, analysts, and cross-functional engineering teams to deliver high-quality data solutions.
- Implement data quality, validation, monitoring, and error-handling mechanisms.
- Participate in code reviews, testing, deployment, and production support activities.
- Follow best practices for security, governance, and documentation.

Preferred candidate profile





- 3 to 5 years of experience in Data Engineering.
- Strong hands-on experience with Python, Matillion, and Snowflake.
- Experience building ETL/ELT pipelines and data integration solutions.
- Strong SQL skills with experience in query optimization.
- Good understanding of data warehousing concepts and dimensional data modeling.
- Experience working with cloud platforms such as AWS, Azure, or GCP.
- Knowledge of Git, CI/CD pipelines, and Agile methodologies.
- Robust analytical, troubleshooting, and problem-solving

Additional information

- Experience with orchestration tools such as Airflow.
- Exposure to DBT is an added advantage.
- Knowledge of REST APIs and data integration techniques.
- Familiarity with data governance and security best practices.

📌 Snowflake Engineer (Hyderabad)
🏢 Blend360 India
📍 Hyderabad