Were looking for a skilled Data Engineer to design, build, and maintain scalable data pipelines and systems. The ideal candidate will have hands-on experience with Snowflake, DBT, and Airflow, with a passion for building efficient, high-performance data workflows.

Key Responsibilities :

- Develop, optimize, and maintain robust data pipelines using Snowflake, DBT, and Airflow.

- Design and implement efficient data integration and transformation strategies.

- Ensure data accuracy, reliability, and scalability across systems.

- Collaborate with analytics and engineering teams to define and deliver data requirements.

- Monitor data workflows, troubleshoot issues, and improve performance.

Requirements :

- 46 years of experience in data engineering or ETL development.

- Strong expertise in Snowflake, DBT, and Airflow.

- Proven ability to manage and optimize large-scale data systems.

- Excellent problem-solving, analytical, and collaboration skills.