Data Modeler - STRONG MSFT FABRIC EXP

Largeton Group; United States; Remote; USD 80,000 - 110,000; Full time

Job summary

An innovative company is looking for a skilled Data Modeler to join their team in a fully remote capacity. This exciting role involves leveraging your expertise in data modeling and SQL to develop robust data architectures for enterprise data warehouses. You will work with modern data solutions and collaborate with agile teams to drive impactful data projects. If you have a passion for data and a proven track record in the financial industry, this opportunity is perfect for you. Join a forward-thinking organization that values your contributions and offers a dynamic work environment.

Qualifications

• Extensive experience in enterprise data modeling and data warehouses.
• Strong background in SQL and data architecture.

Responsibilities

• Develop and manage data models for enterprise data warehouses.
• Collaborate with cross-functional teams to enhance data architecture.

Skills

Data Modeling

SQL

ETL Processes

Agile (Scrum)

Communication Skills

Tools

SSIS

Azure

Amazon Web Services

Job description

Job Title: Data Modeler (Microsoft Fabric)

We are seeking a highly skilled Data Modeler with strong experience in data modeling within a Microsoft environment.

Position Details:

• Location: Fully Remote (EST hours)
• Duration: 6 months
• Employment Type: Contract
• Seniority Level: Mid-Senior

Key Requirements:

1. Extensive experience in data modeling, especially in enterprise data warehouses, including third normal form standards.
2. Strong SQL skills and data architecture background.
3. Experience with data modeling tools and methodologies, including Star schema and Snowflake.
4. Experience with ETL processes, SSIS, Azure, and Amazon Web Services.
5. Excellent communication skills (rated 10/10).
6. Experience with Agile (Scrum) SDLC.
7. Previous experience in the financial industry is preferred but not mandatory.

Additional Information:

Ideal candidates will have a proven track record in enterprise data warehousing, data modeling, and SQL expertise, with familiarity in traditional and modern data warehousing solutions.