Data Engineer

Design, develop, and maintain scalable data pipelines using DBT, Snowflake, and Python Build and manage data transformation workflows using DBT (models, macros, testing, and documentation) Develop efficient data ingestion and processing pipelines using Python Optimize Snowflake data models , queries, and performance for large-scale datasets Ensure data quality, reliability, and consistency through testing and validation frameworks Collaborate with data analysts, business teams, and stakeholders to understand data requirements Implement best practices for data modeling, version control, and pipeline orchestration Monitor and troubleshoot data pipeline issues and performance bottlenecks Maintain clear and structured documentation for data workflows and pipelines Role & responsibilities Preferred candidate profile Experience working in cloud environments (AWS, Azure, or GCP) Familiarity with CI/CD practices for data pipelines Exposure to real-time or streaming data pipelines is a plus Experience in enterprise-scale data platforms