Azure Data Modeler(Onsite)
2 months ago
Data & Analytics- Bengaluru***
**Key Responsibilities**:
- **Data Modeling**:
- Design, develop, and maintain data models on Azure that accurately represent corporate entities, including business profiles, industry profiles, and investor profiles.
- Collaborate with business stakeholders to understand data requirements and translate them into effective data models.
- Ensure data models are scalable, maintainable, and aligned with industry best practices.
- **Azure Platform Utilization**:
- Utilize Azure data services, including Azure SQL Database, Azure Synapse Analytics, and Azure Data Lake, to implement and manage data models.
- Work with Azure Data Factory for data integration and ETL processes to support data model population.
- Implement data governance and security practices using Microsoft Purview.
- **Corporate Data Expertise**:
- Develop data models that capture the complexities of corporate structures, including hierarchies, relationships, and attributes relevant to business, industry, and investor profiles.
- Ensure data models facilitate comprehensive analysis and reporting on corporate performance, market trends, and investment activities.
- Stay updated on industry standards and best practices in corporate data modeling.
- **Data Quality & Governance**:
- Implement data quality checks and validation processes within the data models to ensure accuracy and consistency.
- Collaborate with data governance teams to ensure models comply with regulatory and compliance standards.
- Document data models and maintain metadata using data cataloging tools.
- **Collaboration & Communication**:
- Work closely with data architects, data engineers, and business analysts to align data models with business objectives.
- Provide guidance and support to other team members in understanding and utilizing data models.
- Present data model designs and updates to stakeholders in a clear and concise manner.
**Job Requirement**
**Preferred Qualifications**:
- **Education**:
- Bachelor's or Master's degree in Computer Science, Information Systems, Data Science, or a related field.
- **Experience**:
- Proven experience (5+ years) in data modeling, with a focus on corporate digital data, including business, industry, and investor profiles.
- Strong experience with Azure data services, particularly Azure SQL Database, Azure Synapse Analytics, and Azure Data Lake.
- Experience with data modeling tools such as ER/Studio, Erwin Data Modeler, or similar.
- **Technical Skills**:
- Proficiency in SQL and understanding of database management systems.
- Strong understanding of data warehousing concepts, ETL processes, and data governance practices.
- Experience with Microsoft Purview for data governance and compliance.
- Knowledge of BI and analytics tools, such as Power BI, for validating and testing data models.
- **Soft Skills**:
- Strong analytical and problem-solving skills.
- Excellent communication and presentation skills, with the ability to explain complex data models to non-technical stakeholders.
- Ability to work independently and collaboratively in a fast-paced environment.
**Additional Skills**:
- Understanding of corporate finance, market analysis, and investment strategies.
- Experience with cloud migration projects and modern data architecture practices.
- Certification in Microsoft Azure (e.g., Azure Data Engineer, Azure Solutions Architect) is a plus.
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