We are seeking a skilled Data Engineer with 3+ years of experience and expertise in DBT Fusion, Analytical SQL, and modern data engineering practices. The ideal candidate will be responsible for designing, developing, and maintaining scalable data transformation pipelines, ensuring high-quality data delivery for analytics and business intelligence. Experience with Snowflake, Airflow, Python, and GitHub is essential for building and managing cloud-based data solutions.
Key Responsibilities
- Design, develop, and maintain data transformation pipelines using DBT Fusion.
- Write efficient and optimized Analytical SQL queries for data extraction, transformation, and reporting.
- Build and manage data models in Snowflake following best practices.
- Develop, schedule, and monitor ETL/ELT workflows using Apache Airflow.
- Create automation scripts and data processing solutions using Python.
- Manage source code, version control, and CI/CD workflows using GitHub.
- Optimize data warehouse performance through query tuning and data model optimization.
- Collaborate with data analysts, BI developers, and business stakeholders to understand data requirements.
- Ensure data quality, integrity, and governance across data pipelines.
- Troubleshoot and resolve issues related to data processing and workflow execution.
- Document data models, workflows, and technical processes.
Required Qualifications
- Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
- 3+ years of experience in Data Engineering or a similar role.
- Strong hands-on experience with DBT Fusion.
- Advanced proficiency in Analytical SQL.
- Experience working with Snowflake as a cloud data warehouse.
- Experience with workflow orchestration using Apache Airflow.
- Good programming skills in Python.
- Experience using GitHub for version control and collaboration.
- Strong analytical, problem-solving, and debugging skills..
Pay: ₹50,000.00 - ₹100,000.00 per month
Work Location: In person
