Data Modeler - Bengaluru, Karnataka, India - growel softech
Description
Data Modeler5+ Years
Bangalore/Mumbai
Max 20 LPA
Responsibilities:
- 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 crossfunctional 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.
- Create comprehensive documentation for data models, database designs, and related processes.
- Communicate complex technical concepts to nontechnical 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.
- Proven experience as a Data Modeler with a focus on data projects.
- Strong proficiency in data modeling tools (e.g., ERwin,etc.).
- Indepth knowledge of database design principles, normalization, and optimization.
- Familiarity with various database management systems (SQL, NoSQL).
- Excellent analytical and problemsolving skills.
- Strong communication and collaboration skills.
- Experience with data governance practices and frameworks.
- Project management skills and the ability to work in a fastpaced environment.
Preferred Skills:
- Knowledge of data warehousing concepts and technologies.
- Familiarity with cloudbased data solutions (e.g., AWS, Azure, GCP).
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