Drive the Future of Freight Transportation with Us!
Are you a curious, data-driven problem solver with a passion for making an impact? As a Data Engineer, you'll join a dynamic team where your insights will shape our strategies, help us stay competitive, and drive profitability. This role is perfect for someone eager to blend data analysis, collaboration, and strategic thinking in a fast-evolving industry.
Duties and responsibilities
Plan, create, coordinate, and deploy data warehouses.
Normalize data from several systems.
Support the development and validation required through the lifecycle of the DWH and Business Intelligence systems, maintain user connectivity, and provide adequate security for data warehouse.
Develop and implement ETL routines according to the DWH design and architecture.
Create best practices for data loading and extraction.
Write ETL pipelines to implement pre-defined business rules and metrics along with ensuring data quality in data warehouse processes.
Provide scalable solutions to manage large imports and implement operational procedures as necessary.
Design and code data pipeline features and data processing jobs for collecting data from disparate systems for the purpose of storing in a data warehouse.
Work with real-time data streams & API's from multiple internal/external sources.
Ensure smooth ongoing operations of data warehouse platform with high availability while making continuous improvement.
Create and maintain system protocols by writing and updating procedures; this includes documentation and writing SQL stored procedures.
Participate in physical and virtual meetings as required to facilitate functional requirement gathering and report development.
Develop reporting applications and data warehouse consistency.
Monitor the DWH and BI systems performance and integrity provide corrective and preventative maintenance as required.
Support EDI integration.
Perform regular Data audits within the data warehouse to ensure accuracy.
Minimum Qualifications
Bachelor's degree in computer science, business analytics or related field plus 3-5 years' experience in data analytics and project management. Prefer experience with data dashboards, data presentations and power BI tools
Advanced English *required*
Location: San Nicolás de los Garza
Working Hours: Office Hours
Recuerda que ningún reclutador puede pedirte dinero a cambio de una entrevista o un puesto. Asimismo, evita realizar pagos o compartir información financiera con las empresas.