Description

You will design and implement data models for large-scale, data-intensive systems.

Responsibilities

• Design, construct, and implement data models and architectures for large-scale systems.
• Write, tune, and interpret SQL queries to optimize data retrieval and processing.
• Troubleshoot, maintain, reverse engineer, and optimize existing ETL pipelines.
• Present complex technical concepts and data solutions to leadership and non-technical stakeholders.
• Manage metadata, data cataloging, and IT governance requirements.

Required Skills

• 5+ years of experience in data modeling and architecture.
• Expertise in GCP architecture and BigQuery.
• Proficiency in SQL optimization and advanced modeling techniques.
• Hands-on experience with Python, Dataflow, and Cloud Composer.
• Experience building and managing ETL pipelines.
• Strong command of version control systems.
• Ability to analyze complex data to solve clinical problems.
• Any Graduate degree.

Key Skills

Education

Any Graduate