Data Engineer - Zone 9
Must-have:AzureCloudPrincipal
Machine translation — original language: Spanish.Show original
Main Function
Ensure the availability, reliability, and strategic exploitation of the organization's data through the administration and optimization of ETL processes, Data Warehouse, and cloud data architectures, providing strategic information and dashboards that support institutional decision-making.
Specific Functions
- Design and administer data architectures and Data Warehouse.
- Develop and optimize ETL/ELT processes and automation of information flows.
- Guarantee the quality, integrity, and governance of corporate data.
- Implement cloud solutions in Azure, Microsoft Fabric, Data Lake, and PostgreSQL.
- Optimize SQL queries and analysis processes for large volumes of information.
- Develop dashboards, KPI, and strategic reports for different business areas.
- Automate data integration and monitoring processes.
- Administer security, access, and information backup policies.
- Transform structured and unstructured data for analysis and visualization.
Requirements
- Engineering in Systems, Computer Science, or a related field.
- Minimum of 6 years of experience as a Data Engineer, preferably in the financial industry.
- Mastery of SQL, ETL/ELT processes, and Data Warehouse administration.
- Experience in cloud platforms such as Azure, Microsoft Fabric, Data Lake, and PostgreSQL.
- Experience in dashboard development and data analysis.
- Knowledge in data governance, quality, and security.
- Intermediate technical English.
- Desirable certifications in Azure or data technologies.
We Offer:
- Attractive salary
- Statutory benefits
- Growth Opportunity
Benefits:
- Life Insurance
- Medical insurance for you and your family
- University Alliances.
Requirements
- Minimum education: University 2 years of experience
- Age: between 28 and 45 years
Keywords:
engineers, ingeniera, ing, engineer, data, area