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- Tasks: Design and maintain data models to meet business needs and ensure data integrity.
- Company: Coforge Ltd is a leading IT services and consulting firm with a global presence.
- Benefits: Enjoy a full-time role with opportunities for mentorship and professional growth.
- Why this job: Join a dynamic team, work on complex data architectures, and make a real impact.
- Qualifications: Experience in data modeling, database systems, and familiarity with tools like Erwin or Power Designer.
- Other info: Ideal for mid-senior level candidates looking to advance their careers in data management.
The predicted salary is between 36000 - 60000 £ per year.
Design, develop, and maintain conceptual, logical, and physical data models to support business needs and objectives across various domains.
Collaborate with stakeholders, including business analysts, data architects, and application developers, to gather and define data requirements.
Create and optimize database schemas and data structures to ensure data consistency, accuracy, and integrity.
Implement best practices for data modeling, including normalization, de-normalization, and dimensional modeling, to support efficient data storage and retrieval.
Lead the design and implementation of complex data architectures for enterprise-level systems, ensuring scalability and performance.
Develop and maintain data dictionaries, data lineage documentation, and metadata repositories to support data governance and standardization efforts.
Perform data mapping and data profiling to ensure data quality and consistency across systems and environments.
Work closely with ETL developers to design data integration strategies, ensuring seamless data flow between source and target systems.
Utilize data modeling tools such as Erwin, Power Designer, or similar to create, modify, and maintain data models and data flow diagrams.
Provide guidance and mentorship to junior data modelers and data engineers, promoting best practices and methodologies.
Ensure compliance with data governance policies, industry standards, and regulatory requirements for data management and privacy.
Support data migration efforts by creating detailed data mapping and transformation rules between legacy and target systems.
Experience in modeling for various databases, including relational (SQL Server, Oracle, MySQL) and NoSQL (MongoDB, Cassandra) systems.
Collaborate with BI and reporting teams to ensure data models support advanced analytics, reporting, and visualization needs.
Analyze and optimize existing data models and database performance, identifying bottlenecks and making recommendations for improvement.
Maintain detailed documentation of data models, schemas, and changes to ensure transparency and future scalability.
Data Modeler employer: Coforge
Contact Detail:
Coforge Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Modeler
✨Tip Number 1
Network with professionals in the data modelling field. Reach out to current employees at Coforge on platforms like LinkedIn to learn more about their experiences and the company culture. This can give you valuable insights and potentially a referral.
✨Tip Number 2
Familiarise yourself with the specific data modelling tools mentioned in the job description, such as Erwin or Power Designer. Consider taking online courses or tutorials to enhance your skills in these tools, which will make you stand out during the interview process.
✨Tip Number 3
Prepare to discuss your experience with various databases, both relational and NoSQL. Be ready to provide examples of how you've optimised data models and improved database performance in previous roles, as this will demonstrate your practical knowledge.
✨Tip Number 4
Stay updated on industry best practices for data governance and compliance. Being knowledgeable about current regulations and standards will show that you are proactive and serious about data management, which is crucial for the role.
We think you need these skills to ace Data Modeler
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities of a Data Modeler. Familiarise yourself with key concepts like data modelling techniques, database management systems, and data governance policies.
Tailor Your CV: Customise your CV to highlight relevant experience in data modelling, database design, and collaboration with stakeholders. Use specific examples that demonstrate your skills in creating and optimising data structures.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data modelling and your understanding of the company's needs. Mention any experience with tools like Erwin or Power Designer, and how you can contribute to their data architecture.
Highlight Relevant Skills: In your application, emphasise your expertise in both relational and NoSQL databases, as well as your ability to work with ETL developers. Make sure to mention any experience with data quality assurance and compliance with data governance standards.
How to prepare for a job interview at Coforge
✨Know Your Data Modelling Tools
Familiarise yourself with data modelling tools like Erwin and Power Designer. Be prepared to discuss your experience with these tools and how you've used them to create and maintain data models in previous roles.
✨Understand Business Needs
Demonstrate your ability to collaborate with stakeholders by discussing how you gather and define data requirements. Share examples of how you've aligned data models with business objectives in past projects.
✨Showcase Your Problem-Solving Skills
Be ready to talk about specific challenges you've faced in data modelling, such as performance bottlenecks or data quality issues. Explain the steps you took to resolve these problems and the impact of your solutions.
✨Highlight Your Mentorship Experience
If you've provided guidance to junior data modelers or engineers, share those experiences. Discuss how you promote best practices and methodologies, as this shows your leadership potential and commitment to team development.
