Data Modeler
3 weeks ago
Client: Is a mission-driven organization that is tackling some of the biggest issues in health care for older adults.
Role: Data Modeler
Location: Bangalore, Pune, Chennai , and Hyderabad (Hybrid – 2 days from Office)
Duration: Full time/Permanent
Job description:
- As a Data Modeler specializing in Azure, you will be responsible for designing, implementing, and maintaining both relational and non-relational data models. You will work closely with cross-functional teams to ensure that data architectures meet business needs.
Key Responsibilities:
- Design and develop conceptual, logical, and physical data models for both relational (e.g., SQL Database) and non-relational (e.g., Cosmos DB) databases in Azure.
- Collaborate with business analysts and stakeholders to gather and translate business requirements into data models.
- Implement best practices in data modeling, focusing on performance, scalability, and maintainability.
- Optimize data structures for efficient storage, retrieval, and analysis, ensuring data integrity and security.
- Create and maintain comprehensive documentation for data models, data flows, and metadata management.
- Support data integration efforts with ETL tools and ensure seamless data movement across various systems.
- Stay abreast of industry trends and advancements in Azure data technologies, relational and non-relational databases.
Qualifications:
- Bachelor’s degree in computer science, Information Technology, or a related field.
- Proven experience in data modeling for both relational and non-relational databases, particularly in Azure.
- Proficiency in Azure services such as Azure Fabric, Azure SQL Database, Azure Cosmos DB, and Azure Data Factory.
- Strong understanding of database design principles and data governance practices.
- Experience with data visualization tools (Power BI, Tableau, etc.) is a plus.
- Excellent analytical, problem-solving, and critical-thinking skills.
- Strong communication and collaboration abilities to work effectively with technical and non-technical teams.
Preferred Skills:
- Knowledge of cloud-based data architecture patterns and data integration strategies.
- Familiarity with Data Governance tools like Collibra and ETL/ELT processes and tools.
- Experience in agile methodologies and project management.
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