Senior Cloud Data Engineer

Roles and Responsibilities :

• Design, develop, test, deploy, and maintain large-scale data pipelines using Airflow on GCP/Azure DevOps.
• Collaborate with cross-functional teams to identify business requirements and design solutions that meet those needs.
• Develop ETL processes using Python/SQL to extract insights from various sources such as BigQuery, Looker, etc.
• Ensure high availability of the system by implementing monitoring tools like Cloud Watch/Prometheus.

Job Requirements :

• 6-9 years of experience in Cloud Data Engineering with expertise in Airflow, Azure DevOps, Gcp, Terraform.
• Strong understanding of SQL and ability to write complex queries for data extraction.
• Proficiency in developing ETL processes using Python/Java or similar languages.