Engenheiro de Dados Pleno GCP/DBT

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an Engenheiro de Dados Pleno GCP/DBT based in Brazil.

Join a dynamic data-driven environment where you'll play a key role in designing, building, and optimizing modern cloud-based data platforms. In this position, you will work on large-scale data initiatives, helping transform complex business requirements into reliable and scalable data solutions. You'll collaborate with multidisciplinary teams to develop robust ELT/ETL pipelines, improve data quality, and support strategic decision-making through efficient data architecture. This role offers the opportunity to work with cutting-edge cloud technologies, contribute to high-impact projects, and continuously expand your technical expertise in a collaborative and innovation-focused setting. If you're passionate about data engineering, cloud ecosystems, and solving complex challenges, this is an excellent opportunity to grow your career.

Accountabilities:

• Analyze existing data warehouse architectures, data sources, and business requirements to define scalable cloud data solutions.
• Design and implement data architectures using Google Cloud Platform services, including data storage, processing, orchestration, and analytics components.
• Develop, maintain, and optimize ELT/ETL pipelines using DBT, BigQuery, Dataproc, Dataflow, and related technologies.
• Create efficient and scalable data models, including staging, transformation, and data mart layers aligned with modern data warehouse best practices.
• Define and execute data migration strategies, including full loads, incremental loads, and change data capture approaches.
• Implement data validation, monitoring, and quality controls to ensure reliability and consistency across data pipelines.
• Optimize query performance, resource utilization, and cloud infrastructure costs while maintaining scalability and operational efficiency.
• Apply data governance, security, and access control policies to ensure compliance and protect sensitive information.
• Troubleshoot and resolve performance, operational, and data-related issues across cloud environments and pipelines.
• Produce and maintain comprehensive technical documentation covering architecture, processes, pipelines, and operational procedures.
• Collaborate effectively with stakeholders, technical teams, and business areas while supporting Agile methodologies and project management practices.

Requirements

• Minimum of 3 years of hands-on experience working with DBT in production environments.
• Strong expertise in DBT concepts, including models (staging, intermediate, marts), ref(), source(), macros (Jinja), seeds, snapshots, and testing frameworks.
• Solid understanding of layered data architecture approaches such as Staging, Transformation, and Data Mart/Data Warehouse models.
• Advanced experience with Google Cloud Platform services, especially BigQuery, Cloud Storage, Dataproc, Dataflow, Composer, and IAM.
• Strong knowledge of data modeling, query optimization, partitioning, clustering, data ingestion, governance, and security best practices within BigQuery.
• Experience managing cloud storage environments, access controls, lifecycle policies, and secure data operations.
• Proficiency in Python, PySpark, and advanced SQL for data engineering, transformation, automation, and integration tasks.
• Familiarity with Shell Scripting and automation processes.
• Experience with Git-based version control systems, including GitHub and Bitbucket.
• Understanding of networking, cloud security, VPCs, firewall configurations, and access management principles.
• Strong analytical thinking, problem-solving capabilities, communication skills, and ability to collaborate in distributed teams.
• Experience working within Agile environments and using Jira for project tracking and team collaboration.

Benefits

• 100% remote work model.
• Competitive profit-sharing program (PLR).
• Comprehensive medical insurance, with dependent coverage options.
• Dental insurance for employees and eligible dependents.
• Childcare assistance.
• Meal and food allowance.
• Home office allowance.
• Educational partnerships with discounts on courses and degree programs.
• Financial support for professional certifications, including cloud certifications such as GCP, AWS, and Azure.
• Livelo rewards points program.
• TotalPass wellness and fitness program with discounted gym memberships.
• Mindfulness and mental well-being support through dedicated wellness programs.
• Collaborative, people-focused culture that encourages continuous learning and professional growth.

How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best!  Why Apply Through Jobgether?    Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.     #LI-CL1