Senior Data Engineer

🕒 Junho 2

🇲🇽 México – Remoto

⏰ Tempo Integral

🟠 Sênior

🚰 Engenheiro de Dados

👻 Score fantasma 75%

O que significa: quão provável esta vaga está aberta sem contratação ativa.Como ler: 60% ou mais significa que achamos que é uma vaga fantasma. Pontuações mais baixas preocupam menos.Como pontuamos: tempo em aberto, republicações, vagas abertas vs tamanho do time, rapidez para fechar vagas, e se o salário está divulgado.Observação: é uma estimativa de dados públicos, não um julgamento da empresa. Vagas reais podem ter pontuação alta, então use como uma dica, não como um fato.

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Jones Lang LaSalle Americas, Inc.

SiteLinkedInTodas as Vagas

10.000+ funcionários

🏠 Imobiliário

🤝 B2B

💼 Consultoria

Real Estate • B2B • Consulting

Prestamos serviços imobiliários comerciais para empresas e investidores em todo o mundo, ajudando a reduzir custos, aumentar a produtividade e melhorar a sustentabilidade.

Descrição

• Design and build advanced reusable and automated frameworks for enterprise-scale data processing • Architect platform features with a comprehensive cross-functional view and strategic alignment • Develop AI-powered solutions that drive measurable business outcomes • Lead complex problem-solving initiatives and root cause analysis for critical systems • Create comprehensive data solutions aligned with enterprise objectives and strategic goals • Design and implement data modeling using relational and star schema architectures • Build full-stack data solutions integrating multiple Azure services and cloud technologies • Drive innovation in data processing, storage, and analytics capabilities • Mentor junior and intermediate data engineers on advanced technical concepts and best practices • Influence business and regulatory requirements through technical expertise and strategic recommendations • Use storytelling and data visualization to build consensus across organizational levels • Lead technical decision-making for complex data architecture and implementation choices • Drive organizational value through strategic data engineering initiatives and AI implementation • Impact Data Engineering strategy through thought leadership and technical innovation • Collaborate with senior stakeholders to align technical solutions with business strategy • Champion data engineering best practices and standards across the organization

🎯 Requisitos

• Bachelor’s degree in Computer Science, Information Systems, Mathematics, Statistics, or related quantitative discipline • 5-8 years of experience in data engineering with proven track record of technical leadership • Demonstrated experience building enterprise-scale data solutions and frameworks • Experience mentoring engineers and influencing technical strategy • Expert Python skills including inheritance, reflection, meta-programming, and advanced design patterns • Comprehensive understanding of end-to-end data solution development • Expert knowledge of Apache Spark, PySpark, Kafka, and distributed computing concepts • Deep proficiency in Azure data services including Databricks, Azure Functions, and Event Hubs • Advanced expertise in relational database design, star schema modeling, and data warehousing concepts • Proven experience implementing AI-powered solutions and automation frameworks at enterprise scale • Strong system design and architecture skills for complex data solutions and microservices

🏖️ Benefícios

• Opportunities for technical leadership, strategic influence, and career advancement • Total Rewards program including career, recognition, well-being, benefits and pay • Equal opportunity employment and reasonable accommodations for individuals with disabilities