Description

What's the Job?

• Design, develop, and maintain scalable data pipelines and platforms on Google Cloud Platform (GCP).
• Collaborate with cross-functional teams to understand data requirements and deliver innovative solutions.
• Implement automated workflows to optimize operational efficiency and data delivery SLAs.
• Create and support APIs that facilitate rapid data insights and enable self-service analytics.
• Contribute to building a robust GCP-based ecosystem for enterprise-wide data analysis, including structured and unstructured data.

What's Needed?

• At least 2 years of hands-on experience with GCP platform components such as BigQuery, Cloud Run, Cloud Functions, and GKE.
• 4+ years of experience in API development using frameworks like Python FastAPI, Apigee, or similar.
• Proficiency with data processing tools such as Spark Streaming, Kafka, and SQL.
• Strong understanding of cloud-native development, CI/CD pipelines, and automation best practices.
• GCP Cloud Professional Data Engineer certification is a plus

Key Skills

Education

Any Graduate