Customer Engineer Data
Description For Customer Engineer Data
Multiplica Talent is seeking a Customer Engineer Data professional in Peru to analyze and design innovative solutions based on client processes and needs within the Google Cloud platform. This role focuses on ensuring the use of standards and best technical practices while becoming a solution specialist. The position involves working with enterprise data platforms, including BI and AI solutions, and requires strong expertise in Google Cloud services. The ideal candidate will have extensive experience in data analytics, enterprise data platform implementation, and the ability to translate client needs into scalable solutions. This permanent position offers a comprehensive benefits package and is available for candidates in Mexico, Colombia, and Peru, providing an excellent opportunity to work with cutting-edge cloud technologies while maintaining work-life balance.
Responsibilities For Customer Engineer Data
- Understand client requirements and collaborate with internal team to prepare cloud product combinations
- Develop proposals: Collaborate with sales team in preparing technical and commercial proposals
- Deliver presentations: Present solutions to clients, highlighting value and benefits
- Identify gaps and provide documentation/suggestions encountered during execution
- Participate in business meetings with various stakeholders
- Maintain effective communication with stakeholders, clients, and partners in a fast-paced service environment
Requirements For Customer Engineer Data
- Professional degree in Systems Engineering, Software Engineering, Computer Science, Mathematics, or related fields
- More than 3 years of experience in data and analytics teams within retail, banking, or industrial sectors
- More than 3 years of experience implementing enterprise data platforms, including BI, AI, and Data Engineering products
- Practical experience in using and managing analytical databases
- Experience in migration and modernization of enterprise data warehouses
- Experience in technical sizing, component proposal development, and solution costing
- Experience in technology strategy, architecture, and digital transformation
- Experience in selling Google Cloud Platform (GCP) product portfolio solutions
- Knowledge in designing and implementing data architectures, governance, security, and data quality
- Advanced analytics knowledge at conceptual level
- Knowledge of Google services such as BigQuery, Cloud DataFlow, Cloud DataProc, Data Fusion, Vertex AI
- Knowledge of different data integration tools for batch and streaming processing
Benefits For Customer Engineer Data
- Agile and collaborative environment
- Work flexibility
- Space to innovate and propose new ideas
- Professional development in an environment that values positive social impact of technology
- Birthday day off
- Payroll benefits
- Major medical expenses insurance
- Food vouchers
- Connectivity bonus
- Mental health insurance
- Half Friday once a month (4 hours for personal errands)
- Two half-days off for immediate family members' birthdays
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