Experience: 6 to 10 years

Roles & responsibilities

• Design, develop, and maintain ETL/ELT data pipelines using Airflow, Python, and DBT
• Build and optimize data models in Snowflake to support analytics and reporting needs
• Implement best practices for data quality, validation, and governance
• Collaborate with analysts, data scientists, and business stakeholders to understand data requirements
• Monitor, debug, and optimize existing data workflows for performance and cost efficiency
• Manage integrations between various data sources (APIs, databases, third-party systems)
• Contribute to the automation of data infrastructure deployment and management

Preferred candidate profile

• 6-10 years of experience in data engineering, snowflake or like wise ETL/ELT platforms
• Proficiency with SQL & in building analytical data models
• Experience with in Python or one of scripting language
• Hands-on with Snowflake data warehouse development & performance tuning
• Experience in building and orchestrating data workflows using Apache Airflow
• Solid understanding of DBT (Data Build Tool) for modular data transformation
• Nice to have experience with Git, CI/CD pipelines, and modern data stack tooling