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Data Modeler

Remote: 
Full Remote
Contract: 
Experience: 
Senior (5-10 years)
Work from: 

Offer summary

Qualifications:

6+ years in metadata management, 10+ years in IT experience, Hands-on experience with RDBMS and data platforms, Experience with data warehouse and data lake, Knowledge of complex SQL queries.

Key responsabilities:

  • Implement business and IT data requirements
  • Develop conceptual, logical, and physical data models
  • Define and govern data modeling standards and best practices
  • Address project requirements proactively and independently
  • Model mappings between source systems and data warehouses
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Indiglobe IT Solutions
11 - 50 Employees
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Job description

  • 6+ experience in metadata management, data modelling, and related tools (Erwin or ER Studio or others). Overall 10+ Experience in IT.
  • Hands-on relational, dimensional, and/or analytic experience (using RDBMS, dimensional data platform technologies, and ETL and data ingestion).
  • Experience with data warehouse, data lake, and enterprise big data platforms in multi-data-center contexts required.
  • Help team to Implement business and IT data requirements through new data strategies and designs across all data platforms (relational, dimensional) and data tools (reporting, visualization, analytics, and machine learning).
  • Work with business and application/solution teams to implement data strategies develop the conceptual/logical/physical data models
  • Define and govern data modeling and design standards, tools, best practices, and related development for enterprise data models.
  • Hands-on modeling in modelling and mappings between source system data model and Datawarehouse data models.
  • Work proactively and independently to address project requirements and articulate issues/challenges to reduce project delivery risks wrt modelling and mappings.
  • Hands on experience in writing complex SQL queries.
  • Good to have experience in data modelling for NOSQL objects
  • Excellent Communication, and presentation skills.

EXPERTISE AND QUALIFICATIONS
Primary Skillsets:
  • Metadata Management
  • Relational & Dimensional Experience
  • Data Warehouse
  • Data Lake
  • Complex SQL Queries
  • NOSQL Data Modelling
  • Data Governance Standards

Required profile

Experience

Level of experience: Senior (5-10 years)
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Problem Reporting
  • Verbal Communication Skills

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