Senior Data Modeler - Singapur, Singapore - TEKsystems

    TEKsystems
    TEKsystems Singapur, Singapore

    3 weeks ago

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    Description

    Job Summary

    We are seeking a skilled Data Modeler to join our team. The Data Modeler will be responsible for designing, implementing, and maintaining data models to support our organization's data needs. The ideal candidate will have a strong understanding of database concepts, experience with data modeling tools, and the ability to collaborate effectively with cross-functional teams.

    Responsibilities

  • Collaborate with cross-functional teams to understand business requirements.
  • Analyze large datasets to identify trends and provide actionable insights.
  • Design and develop data models aligned with business needs and standards.
  • Ensure consistency and accuracy of data models across the organization.
  • Utilize Python, R, and data visualization tools for analysis and visualization.
  • Create visually compelling representations of data for easy understanding.
  • Regularly review and improve existing data models.
  • Conduct thorough testing to ensure the reliability and accuracy of model
  • Requirements

  • Bachelor's or master's degree in computer science, Information Technology, or a related field is required.
  • Demonstrated experience in data pipeline implementation, specifically in Azure Synapse or Databricks.
  • Proven track record in data modeling, analysis, and predictive analytics with strong familiarity with data modeling techniques like ERD, UML, and normalization.
  • Proficiency in programming languages such as Python, R, or similar.
  • Familiarity with data visualization tools such as Tableau or Power BI is advantageous.
  • Exceptional analytical and problem-solving skills with a keen eye for detail.
  • Excellent communication skills, capable of conveying complex findings to diverse audiences effectively.
  • Detail-oriented approach and adept at managing multiple tasks in a dynamic environment.
  • Ability to collaborate both independently and as part of a cross-functional team.
  • We regret to inform that only shortlisted candidates will be notified / contacted.