What is this position about?

- Conduct comprehensive gap analysis and data mapping across 80+ ERP systems to identify integration challenges, data inconsistencies, and transformation requirements.
- Design and develop standardized ETL pipelines and data transformation processes for migrating enterprise data into Microsoft Fabric.
- Build robust data quality frameworks and validation rules to ensure data readiness for AI and analytics workloads.
- Lead hands-on implementation of ETL standards and best practices, establishing repeatable patterns and automation scripts for multi-source integrations.
- Develop and optimize data models that support seamless transformation from fragmented ERP sources into a unified, AI-ready data architecture.
- Lead the pilot implementation phase, testing and refining standards against real ERP data before full-scale rollout.
- Mentor and guide team members on ETL development, data transformation techniques, and Fabric-specific engineering practices.
- Collaborate with stakeholders to document data lineage, transformation logic, and integration patterns for knowledge transfer and governance.
- Troubleshoot data inconsistencies and implement corrective measures to maintain data integrity throughout the pipeline.

- Advanced proficiency in SQL for complex data transformations, query optimization, and performance tuning.
- Strong Python expertise for automation scripting, data pipeline development, and ETL orchestration.
- Demonstrated hands-on experience in designing and implementing ETL solutions across complex, multi-source environments.
- Proven experience with enterprise ERP systems and large-scale data integration scenarios.
- Solid understanding of Azure ecosystem and hands-on experience with Microsoft Fabric for data engineering.




- Strong knowledge of data modeling principles and ability to design schemas that support AI and analytics use cases.
- Experience with data quality assessment, validation frameworks, and data profiling techniques.
- Excellent problem-solving skills with a focus on scalability, maintainability, and performance optimization.
- Strong communication skills and ability to collaborate with technical and business stakeholders.

What about languages?

English: Advanced (required for effective communication with global teams)

How much experience must I have?

5+ years of experience in Data Engineering with demonstrated expertise in data modeling and ETL development.

Our Perks and Benefits:

- Learning Opportunities:
- Certifications in AWS (we are AWS Partners)
- Access to AI learning paths to stay up to date with the latest technologies.
- Study plans, courses, and additional certifications tailored to your role.
- Access to Udemy Business, offering thousands of courses to boost your technical and soft skills.
- English lessons to support your professional communication.

- Travel opportunities to attend industry conferences and meet clients.
- Mentoring and Development:

- Career development plans and mentorship programs to help shape your path.

- Celebrations & Support:

- Special day rewards to celebrate birthdays, work anniversaries, and other personal milestones.
- Company-provided equipment.

- Adaptable working options to help you strike the right balance.
- Statutory Benefits:

- Social security coverage (IMSS).
- Christmas bonus (Aguinaldo) as per Mexican law.
- Vacation premium (Prima Vacacional).
- Remote work bonus.
- Paid leaves as per Federal Labor Law (LFT).
- Additional benefits as required by Mexican labor regulations.

Other benefits may vary. For detailed information, please consult with one of our recruiters.

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📌 Lead Data Engineer (Centro)
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