Description

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

Responsibilities

• Design and implement data architectures using GCP services like BigQuery, Bigtable, and DataProc.
• Develop and optimize data models for efficient storage and retrieval.
• Process large datasets using SQL, PySpark, and Python.
• Ensure data security, governance, and compliance best practices are met.
• Monitor the performance, scalability, and reliability of data pipelines.

Required Skills

• 5+ years of hands-on experience with GCP data services.
• Proficiency in SQL, PySpark, and Python.
• Expertise in Data Modeling and performance tuning.
• Experience implementing security best practices in cloud data environments.
• Working knowledge of BigQuery, Bigtable, and DataProc.
• Experience monitoring and troubleshooting cloud-based data environments.

Key Skills

Education

Any Graduate