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Jobs or company...
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Sr. Data Modeler

Salary undisclosed

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Dice

Availability Status

This job is expected to be in high demand and may close soon. We’ll remove this job ad once it's closed.

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Position Details: Job Title: Sr. Data Modeler
Location: San Diego, CA (100% remote)
Duration: 6+ Months (Possible Extension)

Contract Type: W2 and 1099

Must Have Skills: (non-negotiable)

  • Azure ecosystem from a data lake perspective (ADL, ADF, etc...)
  • Databricks - really important, strong expertise here SQL
  • PBI, Dax - they don't need to develop reports or anything but critical they know the path from the data model to the PBI dashboard/visualization
    they are building in a Medallion architecture, gold layer (structured data)
  • must understand semantic modeling

Job Description / Responsibilities:

  • Design, develop, and maintain data models for Azure Data Lake.
  • Collaborate with data engineers, reporting team and business stakeholders to understand data requirements and translate them into effective data models.
  • Implement data modeling best practices to ensure data integrity, consistency, and performance.
  • Improves/enhances existing data models, increasing data accessibility, and fostering data-driven decision making across the organization
  • Optimize data storage and retrieval processes within Azure Data Lake.
  • Develop and maintain documentation for data models, data dictionaries, and data flow diagrams.
  • Perform data profiling and analysis to identify data quality issues and recommend solutions.
  • Work with Engineers to ensure seamless integration of data models into data pipelines.
  • Monitor and troubleshoot data model performance and make necessary adjustments.
  • Stay up-to-date with the latest trends and technologies in data modeling and Azure Data Lake.
Qualifications:
  • Proven experience as a Data Modeler, specifically with Azure Data Lake.
  • Strong experience with data modeling, data modeling concepts, methodologies, and tools.
  • Experience with Azure Data Lake, Azure Data Factory, and other Azure data services.
  • Experience with Databricks, Power BI, DAX
  • MS Fabric is a HUGE plus not just knowledge of but actual work experience with
  • Strong experience in SQL and experience with data modeling tools.
  • Develop and integrate semantic models to enhance data understanding and usability.
  • Knowledge Star Schema and understanding of Medallion Architecture
  • Knowledge of data warehousing concepts and ETL processes.
  • Strong communication and collaboration skills
  • Ability to work independently and as part of a team.
  • Certification in Azure Data Engineering or related fields.
  • Familiarity with data governance and data quality frameworks.
Top Skills Details
  • Data Modeling
  • data modeling concepts, methodologies, and tools
  • Databricks
  • Azure data lake
  • ADF
  • Power BI
  • DAX
  • MS Fabric
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.
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