Data Modeler

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Modeler with a contract length of "unknown," offering a pay rate of "unknown." Requires 5+ years in Data Modeling, expertise in Data Vault 2.0, cloud Data Warehousing (Snowflake), and financial domain knowledge. Hybrid location.
🌎 - Country
United States
💱 - Currency
$ USD
💰 - Day rate
Unknown
Unknown
🗓️ - Date discovered
April 22, 2025
🕒 - Project duration
Unknown
🏝️ - Location type
Hybrid
📄 - Contract type
Unknown
🔒 - Security clearance
Unknown
📍 - Location detailed
Las Vegas, NV
🧠 - Skills detailed
#SQL Server #Leadership #S3 (Amazon Simple Storage Service) #Big Data #TOAD (Tool for Oracle Application Developers) #Data Profiling #Data Governance #Trino #Databases #Data Modeling #Cloud #SQL (Structured Query Language) #Oracle #Redshift #Data Lineage #ERWin #Snowflake #Data Mapping #Vault #Data Vault #Data Lake #Data Analysis #Deployment #Data Warehouse #DBA (Database Administrator) #MDM (Master Data Management) #Data Management #Data Quality #Data Lakehouse
Role description

Job Description

Skills : Data Vault, Data Modeling (Any tools)

What are we looking for?

   • 5 + years of experience in Data Modeling & Data Analyst and should have excellent communication and leadership skills. Financial Domain knowledge is plus.

   • Should have strong understanding of cloud Datawarehouse like SnowFlake and Data modelling skill using Data Vault 2.0 .

   • Should have in depth understanding or executed new concepts like Data Lakehouse and should have worked on Big Data data sources / tools such as Hive , S3 , Trino , HUE , etc

   • Should have done complex (100+ entities/tables) Data Modeling programs 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 any one of these data modeling tools (Erwin, ER/Studio, Toad Data Modeler, etc)

   • Extensive Data Modeling experience in same or similar bigdata and cloud databases such as Hive, Redshift, Snowflake and on prem databases such as Oracle, SQL Server and DB2

   • Should have experience in working with product managers, project managers, business users, applications development team members, DBA teams and DataGovernance team on a daily basis to analyze requirements, design, development and deployment technical solutions.

   • Should have implemented Bill Inmon and Ralph Kimball methodologies to design data warehouses

   • Should have in depth understanding on Data Warehousing, Data Analysis, Data Profiling, Master Data Management (MDM), Data Quality, Data Lineage, DataDictionary, Data Mapping, Data Policy, and Data Governance.

   • Need to have at least 2 hours overlap with Pacific Timings to interact with Onsite team and to attend daily standup meetings .

Thanks

Lalit

lalit@hirextra.com