**Roles and Responsibilities**
In this role you will:
- Provide operational support by troubleshooting, monitoring, and resolving customer support tickets and production issues.
- Participate in requirement gathering processes and work in implementing and testing new data engineering solutions to address customer needs.
- Implement data access layers for reporting, data analysis, metadata management and data services.
- Contribute to continuous improvement initiatives to enhance data engineering processes and products.
- Leverage technical data dictionaries and business glossaries to analyze the datasets
- Perform data profiling and data analysis for any source systems and the target data repositories.
- Develop an understanding of metadata and underlying data structures to standardize data load processes.
- Perform a variety of data loads & data transformations using multiple tools and technologies.
- Build and test automated Extract, Transform & Load (ETL) jobs based on data mapping specifications.
- Validate data mapping results and ensure alignment with expected outcomes.
**Basic Requirements**
- _Bachelor's Degree in Computer Science or "STEM" Majors (Science, Technology, Engineering and Math) with intermediate experience._
- _Able to legally work in Mexico.
We will not sponsor individuals for employment visas, now or in the future for this job._
- Foundational knowledge of storage architecture, data modeling, data management, and data processing techniques.
- Hands-on experience in writing SQL scripts for SQLServer, Oracle, MySQL, or PostgreSQL.
- Hands-on experience in scripting and programming languages like C#, Powershell and Python, including version control of the code.




- Basic understanding of Online Transaction Processing (OLTP) and Online Analytical Processing (OLAP) data models.
- Hands-on experience to structure and unstructured datasets and handling XML, JSON file formats, etc.
- Hands-on experience to Extract, Transform & Load (ETL) tools or ELT tools.
- Exposure to data patterns using regular expressions.
- Exposure to data analytics to identify data patterns and detect issues in data.
**Desired Expertise**:
- Exposure to Azure cloud services: Devops, Storage, Document Intelligence
- Exposure to AI Tools: Copilot, Devin AI, or Claude Sonet, etc.
- Exposure to Data visualization tools: Tableau, PowerBI or others.
- Understanding of aerospace industry practices: Aircraft maintenance.
- Awareness of Lean manufacturing or Six Sigma principles.
**Domain Expertise**:
- Exposure to batch processing and audit datasets from industrial businesses
- Exposure to customer service and accounting customer data domains.
**Leadership skills**:
- Effective communication and interpersonal skills: Written and oral, in English and Spanish.
- Collaborative mindset: Partner with team members to understand project objectives and resolve technical issues.
- Clear communication: Share project status or challenges concisely with cross-functional teams.
- Initiative and innovation: Identify opportunities for improvement and experiment with new software frameworks.
- Adaptability: Pivot quickly to new environments and changing requirements.
- Problem-solving mindset: Explore alternative solutions and provide in-depth scenario analyses.
**Additional Information**:
**Relocation Assistance Provided**:No

📌 Support & Operations Engineer (Santiago de Querétaro)
🏢 GE Aerospace
📍 Santiago de Querétaro