Description

You will design and implement scalable data solutions on Google Cloud Platform.

Responsibilities

• Design and implement scalable data solutions using BigQuery, Cloud Storage, Cloud SQL, Pub/Sub, Vertex AI, Dataflow, and Dataproc.
• Build efficient ETL pipelines using Java or Python.
• Create and optimize data models for large datasets, handling SQL/NoSQL databases like Bigtable, Firestore, and Cloud SQL.
• Set up CI/CD, monitoring, and logging for data workflows.
• Troubleshoot performance and data integrity issues while ensuring adherence to security and governance standards.

Required Skills

• 5+ years of hands-on experience in data architecture on GCP.
• Proficiency in SQL and NoSQL databases.
• Experience with Java and Python for pipeline development.
• Familiarity with CI/CD practices.
• Knowledge of Monitoring tools.
• Expertise with BigQuery and Cloud Storage.
• Experience with Cloud SQL, Pub/Sub, Vertex AI, and Dataflow.

Key Skills

Education

Any Graduate