数据工程师负责人（Microsoft Fabric）
Lead Data Engineer (Microsoft Fabric)
Blend 是一家领先的 AI 服务提供商，致力于通过数据科学、AI、技术与人才的力量，为客户创造有意义的影响。公司使命是激发大胆的愿景，通过无缝结合人类专业知识与人工智能，解决重大挑战。公司通过汇聚世界级的人才和数据驱动的战略，为客户解锁价值并推动创新。我们相信，人与 AI 的力量可以对您的世界产生深远影响，为我们的员工和客户创造更有意义的工作和项目。更多信息请访问 www.blend360.com
我们正在寻找一位高级数据分析师，为公司的下一轮增长和扩张做出贡献。
该职位的主要职责包括：
· 在 80 多个 ERP 系统中进行全面的差距分析和数据映射，识别集成挑战、数据不一致性和转换需求。
· 设计和开发标准化的 ETL 流水线和数据转换流程，将企业数据迁移到 Microsoft Fabric。
· 构建稳健的数据质量框架和验证规则，确保数据适用于 AI 和分析工作负载。
· 领导 ETL 标准和最佳实践的实施，建立可重复的模式和自动化脚本，用于多源集成。
· 开发和优化数据模型，支持从分散的 ERP 来源到统一的 AI 就绪数据架构的无缝转换。
· 领导试点实施阶段，在全面推广前针对真实 ERP 数据测试和优化标准。
· 指导团队成员在 ETL 开发、数据转换技术和 Fabric 特定工程实践方面的技能。
· 与相关方合作，记录数据血缘、转换逻辑和集成模式，以实现知识传递和治理。
· 解决数据不一致性问题，并实施纠正措施，以在整个数据流中保持数据完整性。
任职要求：
· 精通 SQL，能够进行复杂的数据转换、查询优化和性能调优。
· 具备强大的 Python 技能，可用于自动化脚本编写、数据流水线开发和 ETL 协调。
· 有在复杂、多源环境中设计和实施 ETL 解决方案的实际经验。
· 有企业 ERP 系统和大规模数据集成场景的实际经验。
· 熟悉 Azure 生态系统，并有使用 Azure 的实际经验。
查看英文原文
Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. For more information, visit www.blend360.com
We are seeking a Lead Data Analyst to contribute to our next level of growth and expansion.
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), Databricks, and Snowflake.
· 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.
⚖️ Flexible 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.
So what are the next steps? Our team is eager to learn about you! Send us your resume or LinkedIn profile below and we'll explore working together!