Senior Data Engineer

🕒 July 29

🗣️🇧🇷🇵🇹 Portuguese Required

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Logo of Cyber Tools and Solutions

Cyber Tools and Solutions

11 - 50 employees

💼 Consulting

📣 Marketing

🔒 Cybersecurity

Consulting • Marketing • Cybersecurity

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 and 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 tagging validation. • Handle complex event structures in BigQuery. • 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. • Keep technical documentation up to date. • Ensure traceability (Data Lineage) and clear understanding 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 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. • Knowledge of the Medallion architecture. • Experience with digital data, Google Analytics 4 (GA4) and tagging validation. • Experience in data governance and data quality. • Analytical profile with strong problem-solving skills. • Good communication with both technical and business teams. • Proactive in proposing improvements. • Ability to work autonomously. • Collaborative and consultative profile.

🏖️ Benefits

• Life insurance • TotalPass • iFood benefit (free meals)

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