Overview
Remote
Hybrid
BASED ON EXPERIENCE
Contract - Independent
Contract - W2
Skills
Data Link Layer
Real-time
Data Structure
Cloud Storage
Data Marts
Analytical Skill
Use Cases
Analytics
Data Integrity
Star Schema
Snow Flake Schema
Data Modeling
Clustering
Performance Tuning
Extract
Transform
Load
ELT
Data Warehouse
Dimensional Modeling
OLAP
SQL
Python
Scripting
NoSQL
Modeling
MongoDB
Data Governance
Meta-data Management
Communication
Collaboration
Google Cloud
Google Cloud Platform
Streaming
Apache Kafka
Data Flow
Business Intelligence
Reporting
Tableau
Microsoft Power BI
Agile
Scrum
Job Details
Job Title: Google Cloud Platform Data Modeler
Location: Remote in Untied States
Duration: Long Term Contract
Candidates who are willing to work on our W2 would be eligible. (W2 Candidates only)
All Visa including s, s, TN Visa, and L2are eligible.
Job Summary:
We are looking for a skilled Google Cloud Platform Data Modeler to design, build, and optimize data models and data structures on Google Cloud Platform. The role involves working closely with data engineers, analysts, and business stakeholders to ensure data models support reporting, analytics, and real-time processing needs.
Key Responsibilities:
Required Skills & Qualifications:
Preferred Qualifications:
Location: Remote in Untied States
Duration: Long Term Contract
Candidates who are willing to work on our W2 would be eligible. (W2 Candidates only)
All Visa including s, s, TN Visa, and L2are eligible.
Job Summary:
We are looking for a skilled Google Cloud Platform Data Modeler to design, build, and optimize data models and data structures on Google Cloud Platform. The role involves working closely with data engineers, analysts, and business stakeholders to ensure data models support reporting, analytics, and real-time processing needs.
Key Responsibilities:
- Design and develop conceptual, logical, and physical data models for Google Cloud Platform-based solutions.
- Implement and optimize data structures for BigQuery, Dataflow, Pub/Sub, Dataproc, and Cloud Storage.
- Support data warehouse and data mart design for analytical and reporting use cases.
- Work with data engineers to ensure efficient ETL/ELT pipelines aligned with data models.
- Translate business requirements into scalable data models that support analytics and operations.
- Define naming conventions, standards, and metadata management practices.
- Optimize BigQuery tables, partitioning, clustering, and query performance.
- Ensure data integrity, consistency, and governance across different layers.
- Collaborate with business users, analysts, and architects to validate data modeling requirements.
Required Skills & Qualifications:
- Strong experience as a Data Modeler / Data Engineer with hands-on Google Cloud Platform exposure.
- Proficiency in data modeling techniques (3NF, star schema, snowflake schema, data vault).
- Expertise in BigQuery data modeling, partitioning, clustering, and performance tuning.
- Good understanding of ETL/ELT pipelines and integration with Google Cloud Platform services.
- Experience in data warehousing concepts, dimensional modeling, and OLAP systems.
- Proficiency in SQL and familiarity with Python or scripting languages.
- Knowledge of NoSQL modeling (Bigtable, Firestore, MongoDB) is a plus.
- Strong understanding of data governance, lineage, and metadata management.
- Excellent communication and collaboration skills.
Preferred Qualifications:
- Google Cloud Platform Professional Data Engineer Certification.
- Experience with streaming data (Pub/Sub, Kafka, Dataflow).
- Exposure to BI/Reporting tools (Looker, Tableau, Power BI).
- Familiarity with Agile/Scrum methodologies.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.