Lead Data Modeler

Role : Lead Data Modeler.

Experience : 5+yrs.

Notice period : Only 15-30days.

Location : Mumbai/Pune Location.

What Youll Do :

- Develop conceptual, logical, and physical data models to represent various data domains, ensuring accuracy, consistency, and scalability.

- Define data structures, relationships, and attributes that capture business requirements and enable efficient data storage and retrieval.

- Collaborate with business stakeholders, analysts, and data consumers to gather and understand data requirements, ensuring that data models align with business needs.

- Translate business requirements into database schema designs, including normalization and denormalization techniques to optimize data integrity and performance.

- Ensure data integrity and quality by defining constraints, validation rules, and data governance policies within the data models.

- Define data quality standards and best practices and maintenance process for CDM/LDM/PDM/Semantic dimensional models.

- Create comprehensive documentation of data models, including entity-relationship diagrams, data dictionaries, and metadata definitions.

- Maintain up-to-date documentation as data models evolve over time.

- Collaborate with data scientists to provide structured data for analytical and machine learning purposes.

- Enforce data governance and compliance standards by incorporating security and privacy considerations into data models.

- Collaborate with legal and compliance teams to ensure adherence to data protection regulations.

- Keep up-to-date with industry trends, emerging technologies, and best practices in data modeling, database design, and data management.

- Provide regular updates for tasks, deliverables, including information on task status, est.
target dates, % completed, priority, allocation percentage, % completed, issues, gaps, for all tasks worked on/planned.

- Lead a project team of Data Modelers.

- Seeks a Data Modelling professional to work closely with customer on the projects.

Professional developments offered :

- Training on the products.

- Opportunities to work on high-profile international projects.

What Makes You a Qualified Candidate

- Bachelors Degree from a reputed Educational Institute.

- Must have 10+ years of IT experience.

- Must have 8+ years of Data Modeling relevant experience.

- Proven experience as a Data Modeler / Database Designer / Information Architect.

- Proficiency in data modelling tools such as ERwin, PowerDesigner, ER/Studio, or similar tools.

- Strong understanding of relational database concepts, normalization, and denormalization.

- Familiarity with various database systems (e.g Vantage, SQL Server, Oracle, PostgreSQL).

- Experience with big data platforms and NoSQL databases is a plus.

- Excellent problem-solving skills and attention to detail.

- Knowledge of Insurance industry domain could be a plus.

- Experience with reference industry data models could be an advantage.

- Strong communication and collaboration skills.

- Ability to clearly and confidently articulate your thoughts.

- Ability to work in a fast-paced, dynamic environment.

- Knowledge of data governance and compliance regulations is desirable.

- Willing to travel both short-term and long-term if required.

What Youll Bring :

- As a Data Modeler, you will contribute to the foundation of effective data management within the customer organization, ensuring that data is organized, accessible, and valuable for making informed business decisions.

- Your expertise in designing efficient and scalable data models will be essential for driving successful data-driven initiatives for different customers.

- Provide knowledge and expertise to other professional services associates.

- Flexibility in working in off-working hours (shift work) including 24X7 Support if required.

- Complete interaction with the customer to collaborate & resolve the issues.

- Strong communication and interpersonal skills, with the ability to articulate complex issues to technical and non-technical stakeholders.

- Strong understanding of relational database concepts, normalization, and denormalization.