Job Description

Job Title: Data Modeller
Location: Noida, India (ONSITE)
Job ID: Client(8094)
Duration: Full-time role
Shift Details: Standard 8-hour shift :We are seeking an experienced Data Modeller to join our team at Client in Noida, India. This is a full-time, onsite role, where you will play a crucial part in designing and managing the data architecture for our enterprise-level projects. The ideal candidate should possess strong expertise in data modelling, data quality, and experience with advanced data platforms like Snowflake and Netezza. Experience in the insurance domain is a plus, but not mandatory. Key Responsibilities:Data Modelling: Design, develop, and maintain enterprise data models using Erwin Data Modelling Tool or similar tools. Ensure alignment with business requirements and maintain model integrity.Data Architecture: Contribute to the design and implementation of data architecture solutions. Collaborate with stakeholders to ensure data structure, data integration, and storage solutions are optimized for business needs.Data Quality Management: Ensure high standards of data quality across all data processes. Implement and enforce best practices for data validation, cleansing, and quality control.Platform Expertise: Utilize Snowflake and Netezza for data warehousing and analytics. Leverage platform capabilities to enhance data management, integration, and reporting.Collaboration: Work closely with cross-functional teams, including business analysts, data engineers, and IT, to gather requirements, deliver data models, and ensure the successful implementation of data solutions.Documentation: Document data models, data dictionaries, and architectural diagrams to ensure clarity and maintainability of data structures.Business Domain Understanding (Insurance Domain - Good to Have): Understand the data needs specific to the insurance industry, including claims, policies, underwriting, and actuarial data. Skills & Qualifications:

• Experience: Proven experience in data modelling, especially with Erwin Data Modelling Tool or similar platforms.
• Tools/Technologies: Strong proficiency in Snowflake, Netezza, and other data warehousing technologies.
• Data Quality: Solid understanding of data quality management practices and techniques.
• Data Architecture: Familiarity with data architecture frameworks and methodologies.
• Insurance Domain Knowledge (Good to Have): Experience in data modelling for the insurance industry is an advantage.
• Communication Skills: Strong written and verbal communication skills with the ability to interact with technical and non-technical stakeholders.
• Problem-Solving: Excellent analytical and problem-solving abilities.
• Education: Bachelor's or Master's degree in Computer Science, Information Technology, or related fields.

• Certification or experience with Erwin Data Modelling Tool.
• Familiarity with ETL processes, data integration, and cloud data platforms.
• Knowledge of Agile methodologies and project management tools.

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