Senior Data Engineer

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🔥 0 minutes ago

🗣️🇧🇷🇵🇹 Portuguese Required

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Cyber Tools and Solutions

11 - 50 employees

🔒 Cybersecurity

🤖 Artificial Intelligence

Cybersecurity • IT Services • Artificial Intelligence

Cyber Tools and Solutions is a consulting company specializing in IT, located in Barueri, SP, Brazil. With extensive experience and cutting-edge technology, we provide innovative solutions to help businesses thrive in the digital world. We offer personalized strategies and comprehensive services to optimize IT infrastructure, enhance cybersecurity, and streamline operations.

📋 Description

• Design and evolve scalable data architectures on Google Cloud Platform (GCP). • Build and maintain data ingestion, transformation, and serving pipelines. • Implement architectures based on the Medallion model (Bronze, Silver, Gold). • Ensure governance, data quality, performance, and cost optimization in BigQuery environments. • Continuously evaluate opportunities for architectural improvement. • Work with data exported from Google Analytics 4 (GA4). • Validate events, parameters, and the quality of digital data collection. • Perform troubleshooting and validation of tagging. • Handle complex event structures in BigQuery, ensuring consistency from capture to consumption. • Automate data engineering processes. • Develop internal tools to increase productivity. • Implement monitoring, automated validations, and data engineering best practices. • Define naming standards, taxonomy, and data quality rules. • Maintain up-to-date technical documentation. • Ensure traceability (Data Lineage) and clarity of pipelines. • Promote governance best practices within the team. • Act as a technical reference for Product, BI, and Martech teams. • Participate in agile ceremonies and support the definition of data requirements. • Support technical decisions related to the digital data ecosystem.

🎯 Requirements

• Solid experience as a Senior Data Engineer. • Hands-on experience with Google Cloud Platform (GCP), BigQuery, and Dataform. • Advanced knowledge of SQL and Python. • Experience building and maintaining data pipelines. • Familiarity with the Medallion architecture. • Experience with digital data, Google Analytics 4 (GA4), and tagging validation. • Experience with data governance and data quality. • Analytical mindset and strong problem-solving skills. • Good communication with technical and business areas/stakeholders. • Proactive in proposing improvements. • Ability to work autonomously. • Collaborative and consultative profile.

🏖️ Benefits

• Life insurance • TotalPass • iFood Livre (unlimited iFood credit)

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