Data Engineer Lead

Vaga não está no LinkedIn

🕒 Setembro 9

🇲🇽 México – Remoto

⏰ Tempo Integral

🟠 Sênior

🚰 Engenheiro de Dados

👻 Score fantasma 25%

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🗣️🇺🇸🇬🇧 Inglês obrigatório

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Logo of VALCE Talent Solutions

VALCE Talent Solutions

11 - 50 funcionários

Fundada em 2016

🤝 B2B

🎯 Recrutamento

💼 Consultoria

B2B • Recruitment • Consulting

VALCE Talent Solutions é uma empresa especializada em nearshoring, aquisição de talentos de TI e consultoria voltada para ajudar empresas a expandirem globalmente, particularmente no México, LATAM e Estados Unidos. Eles oferecem soluções personalizadas que incluem recrutamento de talentos, gestão de força de trabalho e integração de tecnologia e inteligência artificial para aprimorar processos de negócios. Com um forte foco em consultoria estratégica, a VALCE visa conectar tecnologia, talento e resultados tangíveis, com uma robusta rede de profissionais de TI e um histórico comprovado de colocações bem-sucedidas e escalonamento de projetos.

Descrição

• Lead the design, development, and evolution of enterprise-grade data platforms and pipelines supporting credit risk products, decisioning capabilities, and analytics solutions • Architect and implement scalable ETL/ELT frameworks using Databricks, Spark, Delta Lake, and cloud-native technologies • Establish data quality, lineage, governance, observability, and monitoring capabilities • Migrate and modernize legacy data assets into cloud-based architectures and Data Lakehouse platforms • Partner with Risk, Product, Architecture, and Engineering teams to translate business requirements into scalable technical solutions • Define and promote engineering standards, coding practices, testing frameworks, data quality frameworks, deployment automation, and operational excellence • Lead technical design reviews and influence architectural direction for data-intensive applications and services • Optimize large-scale data processing workloads for performance, reliability, scalability, and cost efficiency • Enable AI and advanced analytics initiatives through high-quality, reusable, governed data products • Mentor and coach engineers and foster ownership, continuous learning, accountability, and engineering excellence • Shape strategic roadmap planning, technology evaluation, and delivery priorities across the ECR portfolio • Support regulatory, compliance, security, and audit requirements through engineering controls and documentation • Own complex cross-service problems and facilitate cross-functional collaboration • Conduct technical interviews and assess engineering talent

🎯 Requisitos

• Strong expertise in designing and implementing large-scale data engineering solutions and distributed data processing systems • Advanced proficiency with Databricks, Apache Spark, Delta Lake, SQL, Hadoop, and Python • Experience building and operating cloud-based data platforms on Azure, AWS, or GCP • Expertise developing enterprise-grade ETL/ELT pipelines, streaming architectures, and data integration frameworks • Strong understanding of data modeling techniques for analytical and operational workloads • Experience implementing data quality frameworks, lineage, metadata management, and governance practices • Experience with Parquet, Avro, and ORC data formats • Working knowledge of CI/CD pipelines, infrastructure-as-code, automated testing, and DevOps practices • Experience with workflow orchestration tools such as Airflow • Strong understanding of security, privacy, and compliance requirements for sensitive financial and customer data • Proven ability to lead technical initiatives across multiple teams and influence engineering direction without direct authority • Excellent communication skills across technical and business functions • Demonstrated leadership in aligning engineering teams around shared goals and driving delivery through ambiguity • Ability to influence senior technical and business stakeholders and make thoughtful trade-off decisions • Knowledge of Java-based application development is a plus • Bachelor's degree in Computer Science, Engineering, Information Systems, or a related STEM discipline, or an alternative minimum of 10 years of experience in a related field • Advanced English required

🏖️ Benefícios

• No benefits or compensation extras explicitly stated

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