Esta oferta de empleo ya no se encuentra disponible. Continúa tu búsqueda de puestos aquí.
Data Engineer (Databricks + Fabric)
Monterrey
Job No. 13368700
Full-time - Remote
Descripción De La Posición
DARE TO BE A PART OF THE CHALLENGE! COME AND JOIN OUR TEAM TOGETHER WE CAN MAKE THE DIFFERENCE!
Did you know that Accenture is leading the digital transformation in the World?
Accenture is a leading global professional services company, providing a broad range of services and solutions in strategy, consulting, digital, technology and operations. Our main purpose is to collaborate with our clients, so they can become high-performance businesses. Accenture is present in more than 200 offices, 120 cities, 56 countries and approximately 743,000 employees worldwide.
Offer
- Career development according to your profile and interests.
- Work in one of the best companies and feel proud.
- Access to an innovative methodology and tools.
- Direct contact with experts worldwide.
- Use of work schemes and cutting-edge technologies.
- Constant training.
- Work environment based on teamwork and collaboration.
- Participation in International Projects
Requisitos
We provide comprehensive training materials and cover the certification exam voucher to help you advance your career. Familiarity or experience with Microsoft Fabric is a plus, but not required.
As part of this role, you will:
- Troubleshoot and resolve technical issues within Microsoft Fabric.
- Collaborate directly with end customers to provide solutions and ensure issue mitigation.
Core Skills and experience:
- 1-3 years of experience in creating and processing datasets and data models to support data aggregation.
- 1+ years in technical support or technical consulting roles.
- 2+ years of experience in data analytics or data engineering, with proficiency in at least two of the following: Synapse Analytics Data orchestration (e.g., Synapse or Azure Data Factory) SQL Server Analysis Services (modeling) SQL development (e.g., SQL Server, Oracle, Teradata) Big Data tools (e.g., Databricks, Hadoop, Data Lake)
