This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Engenheiro de Dados GCP Sênior (Big Query / DataFlow) based in Brazil.
This is a senior data engineering opportunity focused on designing and scaling robust data solutions within the Google Cloud ecosystem. You will build and maintain resilient data pipelines while working with technologies such as BigQuery, Dataflow, Cloud Functions, and Cloud Pub/Sub. The role combines hands-on engineering with architectural improvements, data modeling, governance, and performance optimization. You will translate business requirements into scalable technical solutions that support complex analytics and automated reporting. Collaboration with multiple squads and functional areas will be essential to ensure data quality, availability, and alignment with business needs. The environment values a data-driven mindset, technical excellence, knowledge sharing, and continuous lea
Accountabilities:
- Design, build, maintain, and optimize scalable and resilient data pipelines within the GCP ecosystem, using technologies such as BigQuery, Dataflow, Cloud Functions, and Cloud Pub/Sub.
- Propose and implement improvements to data architectures, ensuring scalability, reliability, performance, and alignment with business requirements.
- Develop effective data models that support complex analytics, business intelligence, and automated reporting.
- Design and optimize ETL/ELT processes to improve pipeline performance, data integrity, reliability, and accuracy.
- Gather requirements from business areas and technical squads, documenting needs and translating them into viable and scalable technical solutions.
- Implement and reinforce data governance, quality, security, and compliance practices across data engineering processes.
- Provide technical support for data integration issues, investigating problems and helping ensure the continuous availability and reliability of data solutions.
- Align technology environments with business requirements, technical standards, and industry best practices.
- Participate actively in agile ceremonies and sprint activities, contributing to high-quality deliveries within agreed timelines.
- Collaborate with multidisciplinary teams to promote a data-driven culture and ensure that engineering decisions are supported by reliable information.
- Analyze complex technical and business requirements and recommend efficient solutions that can scale with evolving organizational needs.
Requirements:
- Have at least 5 years of direct professional experience in Data Engineering within GCP environments.
- Have at least 3 years of hands-on experience with Databricks.
- Demonstrate extensive experience with the GCP ecosystem, particularly BigQuery, Dataflow, Cloud Functions, and Cloud Pub/Sub.
- Have strong proficiency in Python, PySpark, and Pandas.
- Possess experience delivering data integration and data exploration projects.
- Have professional experience developing Big Data solutions and working with large-scale data processing environments.
- Understand Spark architecture and the challenges associated with distributed data processing.
- Have solid knowledge of Data Warehousing concepts, including data loading, key distribution, and performance tuning.
- Demonstrate experience with data modeling for BI and Data Mart environments, including Star Schema and Snowflake Schema, as well as NoSQL data modeling.
- Have advanced SQL skills and experience working with both relational and NoSQL databases.
- Be comfortable working in agile environments and collaborating with multiple functional and technical areas.
- Demonstrate strong analytical and problem-solving abilities, with the capacity to translate business requirements into scalable and efficient technical solutions.
- Communicate effectively and collaborate with colleagues and stakeholders while maintaining a strong data-driven mindset.
- Experience with AWS services such as AWS Glue and equivalent ETL/ELT tools is considered a plus.
- Familiarity with Looker, GCP Data Studio, or similar analytics platforms is an advantage.
- Experience with data visualization tools such as Tableau or Power BI is desirable.
- Knowledge of Oracle databases, Shell Script, Unix, or Linux is considered a plus.
- Relevant Google Cloud certifications are an advantage.
- Previous experience implementing data governance and compliance practices is desirable.
- Experience supporting Finance, Pricing, or Controllership functions is considered a differentiator.
Benefits:
- 100% remote work under a CLT employment model.
- Porto Seguro health insurance with coverage for employees and the possibility of including spouses and children.
- Porto Seguro dental insurance for employees and dependents.
- Profit Sharing and Results (PLR).
- Childcare assistance.
- Alelo food and meal allowance.
- Home office allowance.
- Partnerships with educational institutions offering discounts and incentives for courses and degree programs.
- Incentives for professional certifications, including certifications in GCP, Azure, AWS, and other cloud technologies.
- Livelo points program with flexibility in how accumulated points are used.
- TotalPass membership with discounted fitness plans for employees and family members.
- Mindself support focused on meditation, mindfulness, and quality of life.
- A collaborative environment that values ethics, transparency, teamwork, technical excellence, and continuous professional development.
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!
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.
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