Description

Lead large-scale Big Data and Cloud implementations focusing on Google Cloud Platform environments.

Responsibilities

• Design and implement data strategies across relational, dimensional, and NoSQL platforms.
• Build, tune, and implement Google BigQuery solutions within GCP.
• Architect infrastructure for data ingestion, automated loads, and security interfaces.
• Define and govern data modeling standards, design tools, and enterprise best practices.
• Present technical solutions and architectures to CXO-level stakeholders.

Required Skills

• 10 to 12 years of experience in BI/DW development on-premise and in the cloud.
• Deep knowledge of Data Warehouse concepts and Cloud BI.
• Proven experience with Google BigQuery model building and tuning.
• Hands-on experience with Big Data platforms such as AWS, Microsoft Azure, or Snowflake.
• Experience implementing Data Lakes, Data Warehouses, and NoSQL databases on the cloud.
• Experience managing real-time and batch data ingestion workflows.
• Proven track record of Data Quality implementation for large-scale BI/Big Data projects.
• Experience working within onsite-offshore delivery models.

Preferred Skills

• Exposure to Data Migration, Data Governance, Metadata Management, and Master Data Management.

Key Skills

Education

Any Graduate