Job Title
Data Engineer - Lugano Branch (CH)
We are seeking a talented Data Engineer to join our dynamic and international team in Lugano, Switzerland.
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About Fincons Group
Fincons Group is an IT business consulting company with over 40 years of experience designing the digital future of leading companies on international markets.
We have built our reputation on foreseeing and interpreting new business models and the rapid evolution of IT systems by providing a complete range of services: from research and consulting to design and development, system integration, and application management.
We believe that everyone's effort can make a difference and transforming knowledge into a strategic resource is our company mission.
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Responsibilities
The successful candidate will be responsible for:
* Developing and maintaining high-performance data warehousing solutions, ensuring scalability in an on-premises environment.
* Creating and managing efficient ETL pipelines to transform, clean, and integrate data from multiple sources into the data warehouse.
* Developing and optimizing data mart tables to support business intelligence and analytics needs, ensuring data is accessible and usable for end-users.
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Requirements
To be successful in this role, you will need:
* A Bachelor's or Master's degree in Computer Science or Engineering.
* 5+ years of experience with DWH solutions, preferably in the Financial Services/Banking area.
* Advanced knowledge of Oracle technologies.
* A deep understanding of data warehousing concepts, including schema design and optimization based on usage patterns.
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Benefits
We offer:
* A challenging and international project portfolio.
* A positive work environment.
* The possibility to work in a leading international banking area.
* A Swiss employment contract.
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Located in Lugano, Switzerland, we do not offer a fully remote work policy. However, work-from-home days may be possible according to the Client's policy. We would love to hear from you if you have a strong background in designing, implementing, and optimizing data architectures.