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Data Architect
1 month ago
Belmont Lavan Ltd is seeking a highly skilled Data Engineer to join our team and take our lab operations to the next level of usability and reliability.
As a Data Engineer, you will be part of a product team responsible for helping scientists with access, integration, analysis, and visualization of data generated in our clients' scientific labs, as well as storage of processed data together with enriched analytics of meta data.
Key Responsibilities:
- Optimize the performance of Oracle views to ensure seamless data flow.
- Design and develop robust and scalable data models in Oracle and MongoDB, and develop efficient ETL processes to integrate various data sources.
- Maintain data pipelines to ensure continuous, accurate data flow from lab instruments to storage systems, facilitating integration with other enterprise systems and external sources.
- This role requires hands-on expertise in Oracle, PostgreSQL, and MongoDB, advanced SQL skills, and experience with ETL tools and scripting languages like Python or Shell for automation.
Requirements:
- Extensive experience with Oracle and MongoDB.
- Proficiency in optimizing database performance and managing large datasets.
- Strong knowledge of data modeling principles and best practices.
- Ability to design robust, scalable, and efficient data models across multiple database platforms.
- Hands-on experience with ETL tools and frameworks.
- Proven ability to develop and maintain data pipelines for continuous data flow.
- Advanced knowledge of SQL for querying, data manipulation, and performance tuning.
- Familiarity with scripting languages such as Python or Shell for automation tasks.
- Experience in developing data visualization tools and dashboards.
Skills:
- Data Modeling
- ETL
- Solution Architect
- SQL
- Shell
- MongoDB
- Python
- Automation
- Database Performance
- Oracle
- Languages
- English