Senior GCP Data Engineer in Brazil, Indiana at Jobgether

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior GCP Data Engineer based in Brazil.

This role is focused on designing and building scalable, high-performance data solutions on Google Cloud Platform to support data-driven decision-making across the organization. You will be responsible for developing robust data pipelines, optimizing data architectures, and ensuring the reliability and security of large-scale data systems. Working within an agile, cross-functional engineering team, you will collaborate closely with product and business stakeholders to translate requirements into efficient technical solutions. The environment is highly collaborative and innovation-driven, encouraging continuous learning and technical growth. You will work with modern data technologies to process and manage large datasets while ensuring performance, scalability, and data integrity. This is a great opportunity for someone passionate about cloud data engineering and building impactful data platforms.

• Design, build, and maintain scalable ETL/ELT pipelines on Google Cloud Platform.
• Develop and optimize data models and architectures to ensure high performance, reliability, and scalability.
• Implement and manage large-scale data processing solutions using services such as BigQuery, Dataflow, and Pub/Sub.
• Maintain and improve data architecture, ensuring efficiency in storage, transformation, and querying processes.
• Apply data security best practices and ensure compliance with engineering and organizational standards.
• Collaborate with product and engineering teams to understand requirements and deliver data-driven solutions.
• Support tracking specifications and data requirements for product and feature development.
• Contribute to CI/CD pipeline implementation and support automated deployment processes.
• Troubleshoot and resolve complex data pipeline and infrastructure issues.

• 5+ years of experience in data engineering or related software engineering roles.
• Strong hands-on experience with Google Cloud Platform services including BigQuery, Dataflow, Pub/Sub, Cloud Functions, and Memorystore/Redis.
• Strong knowledge of SQL and NoSQL databases, including data modeling, optimization, and performance tuning.
• Experience building and maintaining large-scale data pipelines and distributed data systems.
• Proficiency in programming languages such as Python and Java.
• Experience with CI/CD pipelines and modern DevOps practices.
• Familiarity with Agile/Scrum development environments.
• Strong analytical and problem-solving skills for complex technical challenges.
• Excellent communication skills in English, both written and verbal.
• Experience with tools such as Terraform and Kafka is a plus.

• Collaborative and knowledge-sharing engineering culture
• Agile environment where innovation and ideas are encouraged
• Opportunity to work on large-scale cloud data platforms
• Continuous learning, training, and mentoring opportunities
• Exposure to modern data engineering tools and cloud technologies
• Possibility to work on diverse and international projects
• Potential for travel depending on project needs