Data Engineer
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Must-have:PythonData
Nice-to-have:FinTech
Requirements
- Minimum 2 years of experience in Data Engineering, Data Integration, or similar roles, with hands-on experience in Denodo.
- Strong experience with Denodo Data Virtualization Platform, including views, data sources, associations, and data services.
- Strong SQL skills and experience with databases such as Oracle, PostgreSQL, MySQL, or similar.
- Good understanding of data virtualization, data integration, data modeling, and Data Warehouse concepts.
- Experience in Denodo query optimization, performance tuning, and troubleshooting.
- Experience integrating data from multiple sources and performing data validation and quality checks.
- Good analytical, problem-solving, and communication skills.
- Experience in banking or financial services is a plus.
- Available to join immediately
Responsibilities
- Design, develop, and maintain Denodo Data Virtualization solutions based on business requirements.
- Develop and maintain Denodo views, data sources, associations, and data services.
- Integrate and virtualize data from multiple enterprise data sources.
- Develop and optimize Denodo queries and data services for performance and scalability.
- Troubleshoot Denodo, data integration, and data quality issues.
- Perform data validation, reconciliation, and data quality checks.
- Collaborate with Data Engineers, Data Analysts, Business Users, and other technical teams.
- Support data integration, reporting, and Data Warehouse initiatives using Denodo.
- Maintain technical documentation and follow best practices for development, testing, and deployment.
Skills: Data Engineering, Python, PostgreSQL, SQL