Senior Data Engineer

Roles and Responsibilities :

• Design, develop, test, deploy and maintain large-scale data pipelines using Airflow on Snowflake.
• Collaborate with cross-functional teams to gather requirements and design solutions for complex data processing needs.
• Develop scalable and efficient SQL queries to extract insights from massive datasets stored in Snowflake.
• Troubleshoot issues related to pipeline failures, data quality problems, and performance optimization.

Job Requirements :

• 7-9 years of experience in Data Engineering with expertise in Python programming language.
• Strong understanding of Airflow workflow management system and its integration with Snowflake database.
• Proficiency in building ETL processes using various tools such as Microsoft Azure Data Factory (ADF) or similar technologies.