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.
- Solid understanding of SQL and ability to write complex queries for data extraction.
- Proficiency in developing ETL processes using Python/Java or similar languages.

Role: Data Science & Analytics - Other, Industry Type: Analytics / KPO / Research, Department: Data Science & Analytics, Employment Type: Full Time, Permanent Role Category: Data Science & Analytics - Other Education UG: Graduation Not Required Key Skills Skills highlighted with ‘‘ are preferred keyskills Cloud Data EngineerLookerPythonSQL AirflowJavaTerraformGCPBigqueryData FlowETLAzure DevOps

📌 Senior Cloud Data Engineer (Mumbai)
🏢 Crisil
📍 Mumbai