Sr. Data Modeler

job
  • Photon
Job Summary
Location
Las Vegas ,NV 89105
Job Type
Contract
Visa
Any Valid Visa
Salary
PayRate
Qualification
BCA
Experience
2Years - 10Years
Posted
15 Mar 2025
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Job Description

Direct message the job poster from Photon

Senior Big Data Modeler

We are hiring a Senior Big Data Modeler to join our Digital Engineering team.

Who are we?

For the past 20 years, we have powered many Digital Experiences for the Fortune 500. Since 1999, we have grown from a few people to more than 4000 team members across the globe that are engaged in various Digital Modernization. Please login to for more info.

Location: Las Vegas, NV (Onsite) | Employment Type: Full-time/Permanent or Contract

What are we looking for?

  • 5+ years of experience in Data Modeling & Data Analysis with excellent communication and leadership skills. Financial Domain knowledge is a plus.
  • Strong understanding of cloud Data Warehouse technologies like Snowflake and Data modeling skills using Data Vault 2.0.
  • In-depth understanding or execution of new concepts like Data Lakehouse and experience with Big Data sources/tools such as Hive, S3, Trino, HUE, etc.
  • Experience in complex Data Modeling programs (100+ entities/tables) in both on-prem and cloud environments.
  • Experience in designing normalized, denormalized, relational, dimensional, star and snowflake schemas for cloud, big data, and on-prem databases using data modeling tools (e.g., Erwin, ER/Studio, Toad Data Modeler).
  • Extensive Data Modeling experience with big data and cloud databases such as Hive, Redshift, Snowflake, and on-prem databases such as Oracle, SQL Server, and DB2.
  • Experience working with product managers, project managers, business users, application development teams, DBA teams, and Data Governance teams to analyze requirements, design, develop, and deploy technical solutions.
  • Implemented Bill Inmon and Ralph Kimball methodologies to design data warehouses.
  • In-depth understanding of Data Warehousing, Data Analysis, Data Profiling, Master Data Management (MDM), Data Quality, Data Lineage, Data Dictionary, Data Mapping, Data Policy, and Data Governance.

Seniority Level

Mid-Senior level

Industries

IT Services and IT Consulting

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