Responsibilities :
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.
Additional Responsibilities:
Airflow, Azure Data Factory, AWS, or GCP. Snowflake certification. CI/CD and DevOps practices for data engineering.
Technical and Professional Requirements:
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.