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Job Description

Description :

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.


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