Lead Data Engineer – Microsoft Fabric

🕒 6 dias atrás

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Blend360

SiteLinkedInTodas as Vagas

501 - 1000 funcionários

🏥 Saúde

🏨 Hospitalidade

✈️ Turismo

💰 $100.000.000 Private Equity Round em 2022-08

Healthcare • Hospitality • Travel

A Blend360 é uma empresa de serviços profissionais especializada em soluções de IA, análise de dados e soluções orientadas por dados. Eles trabalham com empresas da Fortune 1000 e grandes marcas empresariais para enfrentar desafios significativos, integrando pessoas e inteligência artificial. A Blend360 foca em vários domínios, incluindo inteligência de negócios, engenharia de dados, ciência de dados, MLOps e governança de dados. Suas indústrias de expertise englobam serviços financeiros, energia, saúde e ciências da vida, varejo, tecnologia, mídia & telecomunicações e viagens & hospitalidade. A Blend360 é reconhecida por suas soluções de IA e dados, tendo recebido prêmios como "Solução do Ano em Capacitação de IA" e sendo listada entre os "Principais Provedores de Serviços de IA Generativa de 2024.

Descrição

• 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.

🎯 Requisitos

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

🏖️ Benefícios

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