Hire the Top 2% of
Remote Google Cloud Dataflow Developers
in Brazil

Fernando M.

Vetted Google Cloud Dataflow developer in Brazil (UTC-3)

As a Senior Full-Stack Engineer with over 16 years of experience developing full-featured software solutions, I have a robust knowledge of Angular, React, Next.js, NodeJS (Express), Python (FastAPI), and the SDLC from End-to-End, which I use to create innovative services and applications. I have extensive experience using Agile methodologies and the Scrum Framework, and I am passionate about making the most efficient solutions. Technologies: Angular, React, Node, Python, GitHub, REST API, SQL, JavaScript, TypeScript, JQuery, Docker, C#, Java, and more.

Natalia P.

Vetted Google Cloud Dataflow developer in Brazil (UTC+2)

I am a Senior Data Engineer with experience in Apache Beam, Spark, Python, Kotlin/Java, and more. I have led teams, migrated AWS accounts, designed data pipelines, and implemented cost-effective solutions. I have also worked on recruitment analytics, built data warehouses, and mentored engineers.

Carlos M.

Vetted Google Cloud Dataflow developer in Brazil (UTC-3)

I worked as a Software Engineer and as a Data Engineer on a Data Platform team at a company that stored roughly 10% of all electronic invoices in Brazil. That was billions of records in our databases, and everyday it received tens of millions more. My team was responsible for providing APIs for other engineering teams, both to ingest new records into our platform and to retrieve records based on various filters. These APIs enabled the engineering teams to develop new features for end-users without worrying about business logic, which database the data was stored in, data migrations, data consistency, etc. As a software engineer, I've developed event-driven microservices for real-time data processing and HTTP APIs. My day to day tasks included: * Doing discoveries to find out what the problem is and how to solve it * Designing the solution * Creating the tasks in our backlog * Build the systems with unit and integration tests * Make the CI-CD pipeline * Create alerts and monitor the system after it is deployed to production As a data engineer, I've built batch pipelines to migrate billions of records from one database to another in just a few hours and I would also maintain several Airflow DAGs that triggered ETL pipelines that populated data marts in our data warehouse. I was also Data Engineering Chapter Leader, responsible for tutoring junior data engineers, creating data engineering trainings, diffusing good practices and standards for creating pipelines and organize meetings to discuss technology and tools within the Data Engineering Scope. More recently I was being trained to become a Tech Lead. I took over my Tech Lead's responsabilites when he went on vacation for 20 days, which included talking to our manager to decide which projects to prioritize, help the team plan the weekly tasks, resolve major incidents and plan the next quarter roadmap.

Marcel P.

Vetted Google Cloud Dataflow developer in Brazil (UTC-3)

Please, visit my Linkedin for more details: [https://www.linkedin.com/in/marcel-pallete-81166b2b/](https://www.linkedin.com/in/marcel-pallete-81166b2b/) Experienced tech consultant, currently working as Data Tech Lead at Ernst & Young Brazil, focused in: \- SQL, Python, PySpark and Scala Languages \- Data Engineering \- Data Architecture \- ETL pipelines (By code or by ETL Tools like Pentaho, Alteryx, SSIS) \- Big Data (Spark, HDFS, Hive, NiFi, Kafka) \- Tuning and performance \- Azure Cloud (Data Factory, Databricks, Synapse Analytics, SQL DB, Data Lake Gen 2, Stream Analytics) \- Terraform and IaC for Azure Cloud \- Databases (SQL Server, PostgreSQL, Teradata, IBM DB2, MySQL) \- Data Modeling (Erwin, DW, DLH, OLAP/OLTP) \- Business Intelligence and DataViz (Power BI Expert level (M, DAX, DAX Studio, Tabular Editor), Tableau, Looker/Data Studio, Looker and LookML, Qliksense and Qlikview) \- Microsoft Fabric complete solution \- Microsoft Solutions (Power Platform, Power Automate, Sharepoint, Power Apps, Dataverse, Sharepoint)

Nayara B.

Google Cloud Dataflow developer in Brazil (UTC-3)

✔ Knowledge of programming languages such as Python and SQL and cloud services such as GCP and AWS; ✔ Experience in ETL tools, such as Apache Airflow, Spark and Apache Beam and data modeling skills; ✔ Knowledge of operating systems, such as Linux; ✔ Experience with business intelligence software.

Alessandro S.

Google Cloud Dataflow developer in Brazil (UTC-3)

With over a decade and a half of experience in the data field, I have developed a solid expertise across various sectors, always seeking new challenges and accumulating knowledge over the years. I am recognized for my ability to understand client needs and deliver creative and effective solutions to solve complex problems. With advanced skills in data modeling and a deep understanding of business rules, I am able to build data models and solutions that meet the specific needs of the company. My attentive and customer-oriented approach allows me to structure, analyze, and simplify data objectively, providing valuable insights to drive organizational success. I am seeking challenging opportunities in the data field where I can apply my extensive experience and technical skills to develop innovative solutions that drive efficiency and success in data analysis and decision-making processes within the company. I am committed to utilizing all my knowledge, learning ability, and technical leadership to significantly contribute to the growth and advancement of the organization, delivering quality solutions, and adding value to the business.

Caio R.

Google Cloud Dataflow developer in Brazil (UTC-3)

As an experienced Software Engineer, I specialize in cloudbased big data processing, microservices architecture, and the development of large-scale products. Currently, I am part of the dynamic team at Jusbrasil, a platform with an active user base of over 26 million. Our team has successfully navigated numerous challenges inherent to large-scale operations, ensuring the high availability of our services and the consistency of our data. This success is largely attributable to our robust engineering culture. My technical expertise spans a wide range of technologies, including but not limited to: Programming Languages: Python, Javascript, Java, Scala Web Technologies: HTML, CSS, React, GraphQL, REST Data Processing: RabbitMQ, Kafka, Spark, Airflow Containerization & Orchestration: Docker, Kubernetes Databases: MySQL, PostgreSQL, MongoDB, Redis, Big Table, Big Query Version Control & CI/CD: Git, Github, Github Actions, Jenkins Monitoring Tools: Grafana, Prometheus, Loki Project Management: Agile, Scrum

Diogo C.

Google Cloud Dataflow developer in Brazil (UTC-3)

I have 17 years of experience in the area of software development, working on implementation projects, migration and development of new solutions in national and multinational companies. I have experience in several types of systems, having already worked with SAP ERP, microservice environments and legacy systems, using several languages such as PHP. ABAP, C++ and NodeJS for their maintenance and implementation.

hugo A.

Vetted Google Cloud Dataflow developer in Brazil (UTC-3)

**Deep Learning Architect (L5) | AWS Generative AI Innovation Center** _São Paulo, Brazil_ With 5+ years experience in AI/ML, I am currently a Deep Learning Architect at AWS Generative AI Innovation Center, blending my expertise in Generative AI science with advanced architectural design to deliver robust, scalable solutions. In my role, which merges the responsibilities of a Data Scientist and a Solutions Architect, I lead customer engagements from proof-of-concept to production-grade systems, ensuring they are secure, fault-tolerant, and optimized for enterprise performance. As a tech lead, I maintain a hands-on approach—contributing to model development, optimization, and deployment—while collaborating with diverse teams to design solutions that drive innovation and disrupt industries. I am seeking long-term opportunities where I can leverage my dual expertise to develop cutting-edge Generative AI solutions and help companies revolutionize their business verticals through transformative technology. ### **Technical Skills** **Artificial Intelligence & Machine Learning** * Expertise in Large Language Models (LLMs), Natural Language Processing (NLP), Computer Vision, Neural Networks, Transformers * Hands-on experience with frameworks: PyTorch, TensorFlow, Scikit-learn **Cloud Computing & DevOps** * 4 AWS Certified (Soultions Architect, Cloud Developer, Machine Learning Specialty, Data Analytics Specialty), Docker, Kubernetes, CircleCI, Elastic Beanstalk, Apache Airflow **Programming & Software Development** * Proficient in Python, R, and SQL * Experienced in building and consuming RESTful APIs and GraphQL **Data Engineering & Big Data** * Skilled in Apache Spark, NoSQL databases (MongoDB, DynamoDB, Elasticsearch) * Experienced in building data pipelines, ETL processes, and optimizing data workflows **Data Analytics & Visualization** * Proficient in Power BI * Proficient Plotly, Bokeh, Matplotlib and Seaborn * Advanced statistical modeling using using R and statsmodels **Soft Skills** * Strong problem-solving ability, Agile/Scrum methodology, proven team leadership, and commitment to continuous learning **Languages** * Portuguese (Native), English (Fluent), French (Fluent), Spanish (Advanced), German (Advanced)

Klyff H.

Vetted Google Cloud Dataflow developer in Brazil (UTC-3)

Hands any time! Like a lot to develop Generative AI solutions (API development experience with ChatGPT/OpenAI, Whisper DL, AssemblyAI, DeepL, Bard, Bing, SageMaker) and own algorithms for computer vision and document classification. Proficient in Java, Python, Node.js, React, Angular, C#, .Net, Golang, and more. Experience in Machine Learning, Computer Vision, Engineering Management, Agile, Team Topology, Accelerate, Scaling Up, Scrum, Kanban, Business Strategy, Business Analysis, Software Design, Software Architecture, High Tech Design, Low Tech Design, Cloud Computing, AWS, GCP, Azure, Oracle Cloud, Software as a Service (SaaS), Bank as a Service (BaaS), PaaS, FaaS, Health systems and Manchester protocol, vast knowledge about Payments, Billing & Settlement, KYC/KYP, NFT, Blockchain, Event Driven, TDD, DDD, CQRS, GraphQL, Rest, Kafka, Pub/Sub, Pandas, TensorFlow, OpenCV, Scikit, Kotlin, Spring (Boot/Cloud/Data/Batch), MongoDB, Cassandra, Redis, DynamoDB, Postgres, MS-SQLServer, MySQL, Oracle, Sybase, Kubernetes, Docker, Rancher, CI/CD, Git, TOGAF, Alfresco, Nuxeo, Camunda, BPM, IBM Case Management, Weblogic, Websphere, JBoss, Quarkus, GraalVM, Microservice, SOLID, Design Patterns, NewRelic, ELK, Splunk, Datadog, Terraform, Robot Framework, OAuth, JKS, SSL, HMZ/DMZ, data encryption, caching, Oracle RDBMS, Jira, Confluence, Git, Miro, Figma, Asana, UiPath Robots, UiPath Orchestrator, OCR, TWAIN and so on