Data Operations Engineer

Roles and Responsibilities :

• Design, develop, test, deploy, and maintain large-scale data pipelines using Airflow on AWS.
• Collaborate with cross-functional teams to identify business requirements and design solutions that meet those needs.
• Develop complex SQL queries to extract insights from Snowflake databases and integrate them into data warehousing systems.
• Troubleshoot issues related to pipeline failures, errors in data processing, and performance optimization.

Job Requirements :

• 5-8 years of experience in Data Operations Engineering with expertise in Airflow on AWS.
• Strong understanding of Snowflake database management system and ability to write efficient SQL queries.
• Experience working with big data technologies such as Apache Spark or Hadoop is a plus.