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Blend360

Optimizing business performance through people, data, tech & analytics

Lead Data Engineer

Data EngineerData EngineerFull TimeRemoteSeniorTeam 501-1,000H1B SponsorCompany SiteLinkedIn

Location

Mexico

Posted

3 days ago

Salary

0

Seniority

Senior

Bachelor Degree5 yrs expEnglishAzureERPETLPythonSQL

Job Description

Lead Data Engineer

Blend360

• 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.

Job Requirements

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

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.

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