Data Engineer_L CGEMJP

Nível Acadêmico: Ensino Superior Completo Turno/Horas -- Áreas de Atuação Profissional: TI - Projetos Descrição: Vaga: Data Engineer_L4 CGEMJP00351037 Modelo de trabalho: Remoto Período: 04/08/2026 até 27/11/2026 Idioma: Inglês Habilidades: We are looking for a talented Data Engineer with strong experience in Google Cloud Platform (GCP) to join a global team and support the design, development, and optimization of scalable data solutions. This professional will play a key role in building modern data platforms, enabling analytics, and ensuring data quality and governance across enterprise environments. Key Responsibilities Design, develop, and maintain scalable data pipelines and data integration processes. Build and optimize data solutions using GCP services. Develop, manage, and enhance data models and large-scale datasets. Ensure data quality, consistency, security, and governance standards. Collaborate with cross-functional teams, including Data Analysts, Architects, and Business Stakeholders. Support analytics and reporting initiatives by providing reliable and high-quality data assets. Troubleshoot and optimize data workflows to improve performance and efficiency. Required Skills Strong hands-on experience with Google Cloud Platform (GCP). Experience with: oBigQuery oDataflow oLooker Proficiency in SQL and data modeling. Experience building and maintaining end-to-end data pipelines. Knowledge of ETL/ELT processes and data integration best practices. Understanding of data governance, data quality, and enterprise data platforms. Experience working in Agile environments. Strong communication skills and ability to collaborate with global teams. Preferred Qualifications Experience with Python or other programming languages for data engineering. Exposure to cloud data architectures and modern analytics platforms. Knowledge of Databricks, Spark, or related big data technologies is a plus. GCP certifications are highly desirable. What We're Looking For Proactive and solution-oriented mindset. Ability to work independently in a fast-paced environment. Strong analytical and problem-solving skills. Passion for data, innovation, and continuous improvement.

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