Lead Data Engineer – Microsoft Fabric

This is a fully remote position, open to applicants in Argentina.

📋 Description

• Perform thorough gap analysis and data mapping across over 80 ERP systems to uncover integration obstacles, data discrepancies, and transformation needs.

• Create and implement standardized ETL pipelines and data transformation processes to facilitate the migration of enterprise data into Microsoft Fabric.

• Establish robust data quality frameworks and validation rules to guarantee data readiness for AI and analytics tasks.

• Spearhead the practical application of ETL standards and best practices, developing repeatable patterns and automation scripts for multi-source integrations.

• Design and enhance data models that enable the seamless transformation of fragmented ERP sources into a unified, AI-ready data architecture.

• Oversee the pilot implementation phase, testing and refining standards using actual ERP data prior to full-scale deployment.

• Mentor and support team members in ETL development, data transformation methods, and Fabric-specific engineering practices.

• Work collaboratively with stakeholders to document data lineage, transformation logic, and integration patterns for knowledge transfer and governance purposes.

• Diagnose data inconsistencies and apply corrective actions to preserve data integrity throughout the pipeline.

⛳️ Requirements

• Advanced SQL skills for intricate data transformations, query optimization, and performance enhancement.

• Strong expertise in Python for automation scripting, data pipeline construction, and ETL orchestration.

• Proven hands-on experience in designing and executing ETL solutions within complex, multi-source environments.

• Demonstrated experience with enterprise ERP systems and large-scale data integration projects.

• Solid understanding of the Azure ecosystem and practical experience with Microsoft Fabric for data engineering tasks.

• In-depth knowledge of data modeling principles and the capability to design schemas that support AI and analytics applications.

• Experience in assessing data quality, establishing validation frameworks, and employing data profiling techniques.

• Exceptional problem-solving abilities with a focus on scalability, maintainability, and optimizing performance.

• Strong communication skills with the ability to collaborate effectively with both technical and business stakeholders.

• Must possess advanced English language skills for effective communication with global teams.

🏝️ Benefits

• Certifications in AWS (we are AWS Partners), Databricks, and Snowflake.

• Access to AI learning paths to keep you updated with the latest technologies.

• Customized study plans, courses, and additional certifications relevant to your role.

• Access to Udemy Business, providing thousands of courses to enhance your technical and soft skills.

• English lessons to support your professional communication.

• Travel opportunities to participate in industry conferences and engage with clients.

• Career development plans and mentorship programs to help shape your professional journey.

• Special day rewards to celebrate birthdays, work anniversaries, and other personal milestones.

• Company-provided equipment.

• Flexible working arrangements to help you achieve a healthy work-life balance.