Data Modeller
2 months ago
Job Title : Data Modeller
Location : Noida/Hyderabad (Hybrid/Remote)
Shift : 1 PM to 10 PM
Experience : 10+ Years (Relevant : 7 Years)
Job Type : Contract (6 months + Extendable)
Background Verification : Mandatory
Job Description :
We are seeking an experienced Data Modeller to join our team for one of our clients. The ideal candidate will have over 10 years of experience in data modelling with at least 7 years of relevant experience in enterprise data modelling. This role involves designing and implementing data models to support the organization's data architecture and analytics initiatives.
Key Responsibilities :
Data Modelling :
- Utilize the Erwin Data Modelling tool to design and develop logical and physical data models for enterprise-level databases.
- Ensure data models support business requirements and are scalable, optimized, and maintainable.
Enterprise Data Modelling :
- Develop and maintain enterprise data models, ensuring consistency and alignment with the overall data architecture.
- Collaborate with stakeholders to understand business needs and translate them into effective data models.
Data Architecture :
- Work closely with the data architecture team to ensure data models fit into the overall data architecture strategy.
- Contribute to the development and implementation of data architecture best practices.
Data Quality :
- Implement and maintain data quality standards and practices within data models.
- Ensure data accuracy, consistency, and integrity across various data sources and platforms.
Data Integration :
- Design and implement data integration solutions to ensure seamless data flow between systems.
- Work with ETL developers to ensure data integration processes align with data models.
Advanced Analytics :
- Support advanced analytics initiatives by providing robust data models that facilitate data analysis and reporting.
- Ensure data models support various analytical tools and platforms, including Snowflake and Netezza.
Documentation and Communication :
- Maintain detailed documentation of data models, including data dictionaries, metadata, and data lineage.
- Communicate complex data concepts clearly and effectively to technical and non-technical stakeholders.
Primary Skills :
Erwin Data Modelling Tool :
- Proficient in using Erwin Data Modelling tool for designing and developing data models.
Enterprise Data Modelling :
- Extensive experience in enterprise data modelling, ensuring consistency and scalability of data solutions.
Domain Knowledge :
- Familiarity with the insurance domain is a plus, helping to align data models with industry-specific requirements.
Secondary Skills :
Data Architecture :
- Strong understanding of data architecture principles and best practices.
Data Quality :
- Experience in implementing and maintaining data quality standards.
Snowflake :
- Knowledge of Snowflake data platform and its integration with data models.
Netezza :
- Experience with Netezza data warehouse solutions.
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