Lead Data Modeler

10 - 20 years

15 - 30 Lacs

pune mumbai (all areas)

Posted:2 hours ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

Position: Lead Data Modeler

Location: Mumbai/Pune

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
  • Teradata seeks a Data Modelling professional to work closely with customer on the projects.

Professional developments offered:

  • Training on the Teradata 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 You’ll 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 TERADATA 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.

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