- Professional
- Oficina en Bengaluru
We are seeking a skilled Data Modeler to join our dynamic team. In this role, you will be responsible for designing and implementing data models that support our data strategy and business objectives. You will work closely with business stakeholders, data engineers, and analysts to ensure that our data is structured in a way that promotes accessibility, integrity, and usability.
- Experience: 9 to 13 years
- Location: Remote or Hybrid
Requirements
Key Responsibilities:
1. Design and develop conceptual, logical, and physical data models to support business processes and requirements.
2. Collaborate with data architects, DBAs, and business analysts to ensure alignment between data models and business needs.
3. Analyze source data and define mappings for ETL processes to facilitate data integration.
4. Establish data governance standards and data quality measures to maintain data integrity.
5. Document data models, data dictionaries, and metadata for clear communication with stakeholders.
6. Provide support for data profiling, data flow analysis, and data mapping exercises.
7. Stay current with industry trends and best practices in data modeling and database design.
Technical Skills:
- Proficiency in data modeling tools (e.g., ERwin, IBM InfoSphere Data Architect, or equivalent).
- Strong experience with SQL and database management systems (e.g., Oracle, SQL Server, PostgreSQL).
- Knowledge of data warehousing concepts, ETL processes, and data integration techniques.
- Familiarity with data visualization tools and business intelligence platforms.
- Understanding of data governance principles and frameworks.
Required Qualifications:
1. Bachelor’s degree in Computer Science, Data Management, Information Systems, or a related field.
2. 5+ years of experience in data modeling and database design.
3. Strong analytical and problem-solving skills with attention to detail.
4. Excellent communication skills and the ability to work collaboratively with cross-functional teams.
5. Experience in Agile methodologies is a plus.
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