Snowflake & Python Developer

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 knowledge
Soft Skills
Strong analytical and problem-solving capabilities.
Ability to work independently and in a collaborative team environment.
Excellent communication and documentation skills.