We are looking for a skilled 6+ years of Snowflake Developer with hands-on experience in Python , SQL , and Snowpark to join our data engineering team. You will be responsible for designing and building scalable data pipelines, developing Snowpark-based data applications, and enabling advanced analytics solutions on the Snowflake Data Cloud platform.
Key Responsibilities
- Develop and maintain robust, scalable, and high-performance data pipelines using Snowflake SQL , Python , and Snowpark .
- Use Snowpark (Python API) to build data engineering and data science workflows within the Snowflake environment.
- Perform advanced data transformation, modeling, and optimization to support business reporting and analytics.
- Tune queries and warehouse usage for cost and performance optimization.
- Leverage Azure data services for data ingestion, orchestration, observability etc.
- Implement best practices for data governance , security , and data quality within Snowflake.
Required Skills
3+ years of hands-on experience with Snowflake development and administration.Strong command of SQL for complex queries, data modeling, and transformations.Proficient in Python , especially in the context of data engineering and Snowpark usage.Working experience with Snowpark for building data pipelines or analytics applications.Understanding of data warehouse architecture , ELT / ETL processes , and cloud data platforms.Familiarity with version control systems (e.g., Git) and CI / CD pipelines .Preferred Qualifications
Experience with cloud platforms like AWS, Azure, or GCP.Knowledge of orchestration tools such as Airflow or dbt.Familiarity with data security and role-based access control (RBAC) in Snowflake.Snowflake certifications are a plus.DBT tool knowledgeSoft Skills
Strong analytical and problem-solving capabilities.Ability to work independently and in a collaborative team environment.Excellent communication and documentation skills.