Description

You will build and manage scalable data pipelines leveraging Snowflake, AWS, Python, and PySpark.

Responsibilities

• Build and manage scalable data pipelines and orchestration jobs.
• Implement data loading and processing using Snowflake features (Snowpipe, Streams, Tasks, Warehouses).
• Develop and maintain data integrations using Python and PySpark.
• Ensure data quality and performance through strong SQL implementation and tuning.
• Manage deployment processes via CI/CD practices.

Required Skills

• 10+ years of experience in Data Engineering and Integration.
• Expertise in Snowflake, including Snowpipe, Streams, Tasks, and Warehouses.
• Strong hands-on experience with AWS, Python, and PySpark.
• Proficiency in building and orchestrating data pipelines (Airflow, dbt, ADF).
• Advanced SQL skills and performance tuning capabilities.
• Experience implementing CI/CD workflows.
• Any Graduate education.

Key Skills

Education

Any Graduate