Data Modeler

6 months ago

Andhra Pradesh, India Quess IT Staffing Full time

**About Us**

“Magna Infotech, now Quess IT Staffing, is India’s largest IT staffing company with over 20 years of experience in staffing IT professionals in 300+ companies across levels and skillsets. Our 10,000+ associates deployed in 80+ cities and towns are proficient in over 500 technological skills. Our associates help enable cutting edge solutions some of the biggest names across industried. Quess IT Staffing is a division of Quess Corp Limited, India’s leading business services provider and largest domestic private sector employer. Quess Corp Limited is - ‘A Great Place to Work’ certified - a testament to our excellent culture, people, and processes.”

**About Company**

**Roles and Responsibility**

Job Title: Data Modeler

Experience Required: 3-8 Years

Notice Period: 15 days to Immediate

Location: Hyderabad, Bangalore

**Job Description**:

- Data Modeling: Create and maintain conceptual, logical, and physical data models that accurately represent the organization's data assets. These models may include entity-relationship diagrams (ERDs), data flow diagrams, and schema designs
- Requirements Gathering: Collaborate with business analysts, data analysts, and other stakeholders to understand their data needs and requirements. Translate these requirements into data model specifications
- Data Standardization: Define and enforce data standards, naming conventions, and data definitions to ensure consistency and clarity across the organization
- Database Design: Work closely with database administrators (DBAs) to design and optimize database schemas based on the data models. Ensure that databases are efficient, scalable, and well-structured
- Data Integration: Facilitate the integration of data from various sources into the organization's data environment. Ensure that data is transformed and mapped appropriately to meet business needs
- Data Governance: Participate in data governance initiatives by establishing data quality rules, data lineage, and data ownership guidelines. Monitor and enforce data governance policies
- Documentation: Maintain comprehensive documentation of data models, data dictionaries, and metadata. Ensure that all changes to data models are properly documented and communicated
- Performance Optimization: Collaborate with developers and DBAs to optimize database performance. Identify and resolve performance bottlenecks related to data access and storage
- Data Security: Implement data security measures to protect sensitive and confidential data. Define access controls and data encryption strategies as needed
- Data Analysis Support: Support data analysts and data scientists by providing well-structured data models that facilitate data analysis and reporting
- Data Migration: Assist in data migration projects by ensuring that data models are consistent between source and target systems. Verify data integrity during migration

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