We are seeking a skilled Data Engineer with extensive experience in DBT, Apache Airflow, and Python. Your role will involve designing, developing, and maintaining robust data pipelines and transformation frameworks.

This position is ideal for individuals with a proven track record in building modern data platforms, managing workflows, developing ETL/ELT processes, and implementing cloud-based data warehousing solutions.

Key responsibilities include architecting and implementing scalable ETL/ELT data pipelines using Python, DBT, and Apache Airflow. You will manage Airflow DAGs for workflow orchestration, scheduling, and monitoring.

Further duties involve creating reusable DBT models, implementing data quality checks, developing Python scripts for data processing, and integrating data from various sources. Troubleshooting pipeline issues and collaborating with stakeholders to meet data requirements are also essential.

Candidates must possess over 5 years of experience in Data Engineering, with strong hands-on skills in DBT and Apache Airflow. Proficiency in Python for ETL development and advanced SQL capabilities are mandatory.

Required experience includes developing enterprise-scale ETL/ELT pipelines, understanding data modeling concepts (Star Schema, Dimensional Modeling), and using Git for version control. A Bachelor's degree in a relevant technical field is also required.