Software Engineer - Data Intelligence

Hot Duties:

Data engineering is evolving fast, and so is how we build pipelines. You'll work with a modern data stack (Snowflake, DBT, Airflow) in an environment that embraces AI-assisted development and automation. This isn't about maintaining legacy ETL jobs. It's about building scalable, efficient data infrastructure that powers real decisions. As the data landscape grows, so does your career here, along with the compensation to match.

Duties:

• Design, develop, and maintain ETL/ELT pipelines using Airflow, Python, and DBT
• Build and optimize data models in Snowflake to support analytics, reporting, and downstream ML/AI use cases
• Implement data quality, validation, and governance best practices
• Partner with analysts, data scientists, and business stakeholders to translate requirements into reliable data solutions
• Monitor, debug, and optimize workflows for performance and cost efficiency
• Manage integrations across APIs, databases, and third-party systems
• Contribute to automating data infrastructure deployment and management

Requirements:

• 6 to 8 years of experience in data engineering
• 2-3 years of experience, or Ready to work with Snowflake or similar data warehouse/ETL platforms, and performance tuning
• SQL skills and experience building analytical data models
• Familiarity with Apache Airflow for orchestrating data workflows
• Working knowledge of DBT for modular, maintainable data transformations
• Experience with Python or any scripting language for data tasks(Optional)