Data Modeler

4 weeks ago

MumbaiPune, India DigitalCube Consultancy Full time

Job Description :

Job Title : Data Modelar

Job Type : Full Time

Location : Pune, :

  • Develop and maintain conceptual, logical, and physical data models that align with business requirements.
  • Collaborate with business analysts, data scientists, and other stakeholders to understand data requirements and translate them into effective data models.
  • Design and implement efficient database structures, ensuring data integrity and performance.
  • Optimize existing data models for better performance and scalability.
  • Stay abreast of industry best practices and emerging trends in database design and optimization.
  • Work closely with cross-functional teams to integrate data models into overall system architecture.
  • Collaborate with data engineers, database administrators, and other IT professionals to ensure seamless implementation of data models.
  • Implement and enforce data governance policies to ensure data quality, security, and compliance with regulatory requirements.
  • Participate in the development and documentation of data standards and guidelines.
  • Perform data analysis to identify patterns, trends, and anomalies, contributing insights to inform data model improvements.
  • Create comprehensive documentation for data models, database designs, and related processes.
  • Communicate complex technical concepts to non-technical stakeholders.
  • Contribute to project planning, providing accurate time estimates and ensuring timely delivery of data modeling tasks.
Qualifications :
  • Bachelor's or master's degree in computer science, Information Technology, or a related field.
Required Skills :
  • Proven experience as a Data Modeler with a focus on data projects.
  • Strong proficiency in data modeling tools (e.g., ERwin,etc.), Snowflake schema, Logical Model, data warehousing
  • In-depth knowledge of database design principles, normalization, and optimization.
  • Familiarity with various database management systems (SQL, NoSQL).
  • Excellent analytical and problem-solving skills.
  • Strong communication and collaboration skills.
  • Experience with data governance practices and frameworks.
  • Project management skills and the ability to work in a fast-paced environment.
Must Have :

  • Knowledge of data warehousing concepts and technologies.
  • Familiarity with cloud-based data solutions (e.g., AWS, Azure, GCP)

(ref:hirist.tech)

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