3+ years of experience in Denodo development, Strong expertise in data modeling and SQL, Experience with performance tuning and optimization, Familiarity with OLAP tools.
Key responsabilities:
Lead design and implementation of data virtualization projects
Develop and maintain complex data models and views using Denodo
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EUIGS | Admiral Group
201 - 500
Employees
About EUIGS | Admiral Group
Admiral main business is direct insurance. Admiral Group is an international group that was born 20 years ago in the UK and that has been a phenomenal entrepreneurial success story. In Europe we operate insurance and price comparison business in Spain, Italy in France.
Our business is largely digital (most of our one million European customers come to us via the Internet),and by its nature, collects and uses a lot of data (for marketing, for pricing, for operations optimisation) and heavily depends on technology to be successful and deliver great customer experiences.
Admiral Group wants technology to be one its key business competitive advantages. We are making progress everyday in that direction, by:
- Increasing our investment in IT
- Upgrading and evolving our IT stack
- Experimenting and taking advantages of the latest technologies (cloud, microservices, big data…)
- Evolving how business and IT work within the organisation (devops, agile, ..)
- Being open to all new ideas and opportunities that can make us better.
In technology, we have a number of key missions:
- Being a competitive advantage
- Be the enabler of change and new business ideas, not the obstacle
- Create new business opportunities
- Be fast, efficient and no non-sense
Today, Admiral Europe Tech is made of about 320 staff split across France, Spain and Italy.
Design, develop, and maintain data virtualization solutions using Denodo to provide seamless access to integrated data across various sources. This includes logical data warehouse building to optimize data access and performance while ensuring data consistency and security. In addition also is responsible for designing, implementing and managing OLAP systems.
Key Objectives
Design and implement Denodo data virtualization solutions to meet business requirements.
Develop, maintain and document data models, views, and integration flows within the Denodo platform.
Optimize data access and query performance for optimal user experience.
Collaborate with data architects, data engineers, and data analysts to understand data needs and deliver effective solutions.
Ensure data quality, consistency, and security within the data virtualization environment.
Main Responsibilities
Lead the design and implementation of Denodo-based data virtualization projects.
Develop, maintain and document complex data models, views, and integration flows using Denodo tools.
Define data transformation strategies using Denodo.
Establish effective caching strategies within the Denodo platform.
Performance tune data access and query performance to meet service level agreements.
Troubleshoot and resolve data virtualization issues in a timely manner.
Address questions and solve complex issues related to data visualization and reporting (especially Tableau).
Provide recommendations on best practices for data visualization tool usage (especially Tableau), ensuring data security and scalability within the platform.
Collaborate with cross-functional teams to gather requirements and deliver solutions.
Stay current with Denodo best practices and emerging technologies.
Requirements:
This is you!
You have 3+ years of experience in Denodo development and administration.
You possess strong expertise in data modeling, SQL, and data integration techniques.
You have experience with performance tuning and optimization of data virtualization solutions.
You are a problem solver with excellent analytical and troubleshooting skills.
You are a team player with strong communication and collaboration skills.
Must
Denodo Platform expertise
Strong SQL skills
Data modeling experience
Performance tuning and optimization skills
Experience with OLAP tools
Nice to Have:
Experience with Tableau
Knowledge of data warehousing concepts
Experience with cloud-based data platforms (e.g., AWS, Azure)
Required profile
Experience
Level of experience:Mid-level (2-5 years)
Spoken language(s):
English
Check out the description to know which languages are mandatory.