Develop ETL/ELT data pipelines using Python and SQL.
Build and maintain DBT transformation models.
Design and optimize Snowflake-based data solutions.
Ensure data quality, validation, and governance.
Support cloud-based analytics and reporting initiatives.

Airflow, Azure Data Factory, AWS, or GCP.
Snowflake certification.
CI/CD and DevOps practices for data engineering.

Strong experience in Python, SQL, and DBT.
Experience with Snowflake data platform.
Strong understanding of Data Warehousing and ETL concepts.
Exposure to data modeling and performance optimization.

We are looking for a passionate Data Engineer with expertise in Python, SQL, DBT, and Snowflake to build scalable data pipelines and support modern cloud data platforms.