Data Modeler(Bangalore) | Codersbrain
full-time
Posted on July 26, 2025
Job Description
Data Modeler
Company Overview
Company details are not provided.
Job Summary
The Data Modeler will focus on designing, implementing, and maintaining effective data models that support data warehousing, business intelligence, and analytical frameworks. This role is critical in translating business requirements into data structures that facilitate optimized data storage and usage.
Responsibilities
- Design and implement NoSQL data models appropriate for data warehousing and analytical approaches.
- Utilize common notations (such as IE) for effective communication of data modeling concepts.
- Develop and maintain scripts using SQL, Data Definition Language (DDL), Data Manipulation Language (DML), and PySpark.
- Employ tools such as ERWIN and Visio for data modeling and Unified Modeling Language (UML) diagram creation.
- Collaborate with internal teams to gather requirements and validate data models.
- Perform data quality assessments and optimization of existing data models.
Qualifications
- Proficiency in NoSQL modeling techniques.
- Strong skills in SQL, including DDL and DML operations.
- Experience with PySpark scripting.
- Hands-on experience using ERWIN and Visio for data modeling.
- Familiarity with UML for creating functional diagrams.
- Excellent analytical and problem-solving skills.
- Effective communication skills to articulate technical concepts to non-technical stakeholders.
- Bachelor’s degree in Computer Science, Information Systems, or a related field preferred.
Preferred Skills
- Experience with other data modeling tools and languages.
- Familiarity with cloud-based data technologies and services.
- Understanding of business intelligence platforms and their integration with data models.
Experience
- Relevant experience is not specified but a background in data modeling or a related field is preferred.
Environment
Work setting and location details are not provided.
Salary
Salary information is not provided.
Growth Opportunities
Potential career advancement details are not provided.
Benefits
Information regarding offered benefits is not provided.