Data Modelling Expert

22 hours ago


Hyderabad, Telangana, India The Modern Data Company Full time
Job Description:

We are seeking an experienced Data Modelling Specialist to lead the design and implementation of comprehensive data models that bridge the gap between business processes and data architecture.

Key Responsibilities:

  • Develop and Maintain Data Models: Design conceptual, logical, and physical data models based on the organization's business processes and data requirements.
  • Collaborate with Stakeholders: Work closely with business and data teams to create a shared understanding of data structures and relationships.
  • Ensure Data Integrity and Quality: Implement data modelling best practices to maintain high data quality, optimize storage, and ensure data integrity.
  • Support Data-Driven Decisions: Enable effective decision-making by creating data models that provide clear insights into business processes and performance metrics.

Requirements:

  • Technical Skills:
    • Proficiency in data modelling tools such as Erwin Data Modeler, SqlDBM, or similar.
    • Strong understanding of database design, including SQL and NoSQL databases.
    • Experience with data warehousing solutions and ETL processes.
    • Experience with different data modelling approaches, including Kimball, Inmon, Data Vault, One Big Table (OBT), and BEAM.
    • Familiarity with cloud-based data solutions such as AWS, Azure, or Google Cloud Platform.
  • Experience: Minimum of 8 years of experience in data modelling, data architecture, or a related field.
  • Problem-Solving Skills: Strong analytical skills and a strategic mindset to solve data-related challenges effectively.
  • Business Acumen: Ability to translate complex business processes into comprehensive data models.

Preferred Skills and Qualifications:

  • Communication Skills: Excellent verbal and written communication skills, with the ability to convey complex data concepts to non-technical stakeholders.
  • Certifications: Certifications in data management or data architecture.
  • Educational Background: Bachelor's degree in Computer Science, Information Systems, Data Science, or a related field. A Master's degree is a plus.

Benefits:

  • Opportunity to work with a dynamic and innovative team.
  • Competitive salary and benefits package.
  • Flexible work environment.
  • Career development and growth opportunities.

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