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Vetted Apache Airflow 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)
Vetted Apache Airflow developer in Brazil (UTC-3)
I am a data engineer and Backend Developer with more than 15 years of experience in software development and systems analysis. I have a bachelor's degree in Information System, a master's degree in Computer Science and a PhD in Mechanical Engineering with an emphasis on artificial intelligence. In the first quarter of 2020, finalize a data lake project on AWS to receive data from the industrial sector. I work with technologies such as AWS, Docker, Kubernetes, Java, AngularJS, Angular 8, Python, NodeJS, SpringBoot, PostgreSQL, SQL Server, MYSQL. I have the ability to learn and integrate different technologies.
Vetted Apache Airflow developer in Brazil (UTC-3)
I am a Senior Software Engineer with over ten years of experience in full-stack development, using various programming languages and cloud services to create stable, secure, and fast web applications. My core competencies include Node.js, Python, PHP, React.js, Docker, Kubernetes, AWS, Elasticsearch, Apache Airflow, Jenkins, and GitHub actions. I am passionate about software development and technology innovation, and I enjoy learning new tools and methodologies to drive problem-solving and development efficiency.
Vetted Apache Airflow developer in Brazil (UTC-3)
I'm a Data architect, with past experiences in Business Intelligence and Data Engineering on leading companies, such as IBM, B2W, and Nestlé. I've being working for 5 years on Big Data projects, using multiple clouds (GCP, AWS, and Azure) and architectures (Data Warehouses/Lakes/Lakehouses, Modern Data Platforms, Data Mesh). Currently, I'm the leader of Debussy, an opinionated open-source data architecture and engineering framework that integrates Airflow, Spark, and dbt.
Vetted Apache Airflow developer in Brazil (UTC-3)
I am a Software Engineer who has been working with data since 2017. In my career, I have worked on different solutions, such as planning and building a Data Lake on AWS using Delta Lake to store 3D Printer sensor information, and developing a data product to device the optimal energy allocation in Minning facilities reducing the cost of R$1,000,000.00 per year using R. My primary programming language is Python, and I have expertise working with data engineering tools in the AWS environment, like Spark, Airflow, Redshift, EMR, Kinesis, and Lambda. My greatest passion is working with projects that can challenge me and make me a better developer
Vetted Apache Airflow developer in Brazil (UTC-3)
I am a Software Engineer with experience in MLOps, software architecture, and backend development. Skilled in Python, Javascript, Kotlin, Cloud services, CI/CD, and project management. Previous roles include IBM, Zoop and Itaú. I've been studying Go, Rust, network and self-hosting.
Vetted Apache Airflow developer in Brazil (UTC-3)
Results-driven data engineer with 6 years of experience in designing and implementing data solutions. Proficient in leveraging PySpark, Python, Hadoop, PostgreSQL, and AWS to develop scalable and efficient data pipelines, ETL processes, and data warehousing solutions. Demonstrated expertise in optimizing data workflows, ensuring data quality and integrity, and driving data-driven decision-making. Adept at collaborating with cross-functional teams to deliver innovative solutions that meet business requirements. Strong problem-solving and analytical skills combined with a commitment to continuous learning and staying up-to-date with emerging technologies in the data engineering space.
Vetted Apache Airflow developer in Brazil (UTC-3)
Professional with extensive experience in Big Data, Data Engineering, Data Science, Data Modeling, Database, SQL, BI and Project Management. Big Data Analysis MBA from FIA - USP, an internationally recognized institution in the Financial Times ranking. With over 23 years of experience in information technology and several programming languages. Holder of the title of worldwide recognition by PMI (Project Management Institute) for project management PMP (Project Management Professional). Holder of 2 Post-Graduations in Project Management from PUC - RJ.
Vetted Apache Airflow developer in Brazil (UTC-3)
Hello, I'm Bruno! I’m a senior software engineer specializing in DevOps and Data Engineering. I’ve been working on projects of architecture, build, and automation of data platforms. Also, I already designed and built a data lake and data warehouse used by thousands of users. I am very goal-oriented, and I deep dive into reaching them. For this, I always try to optimize the reliability, scalability, and maintainability of the projects I work on. I tackle challenges and complex projects with enthusiasm, and excellent analytic skills.
Vetted Apache Airflow developer in Brazil (UTC-3)
Senior Data Engineer with over 12 years of experience in designing and building data pipelines, data warehouses, and data lakehouses. Highly skilled in AWS, Snowflake, Azure, and other advanced technologies, supporting complex data projects and business initiatives. Exceptionally dedicated professional with keen interpersonal, communication, and organizational skills. Technologies: Python, PySpark, AWS (KInesis, Lambda, S3, others), DBT, Spark, Databricks, Airflow Fundamentals Certified, Snowflake, Docker, Azure Certified Data Engineer (Data Factory, Synapse, others), ETL, Salesforce, DBT, Snowpipe, SQL Server, Terraform, Pentaho, SQL Server, Postgresql.
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Get startedArc offers pre-vetted remote software developers skilled in every programming language, framework, and technology.
Look through our popular remote developer specializations below.
Arc helps you build your team with our network of full-time and freelance Apache Airflow developers worldwide.
We assist you in assembling your ideal team of programmers in your preferred location and timezone.
In today’s world, most companies have code-based needs that require developers to help build and maintain. For instance, if your business has a website or an app, you’ll need to keep it updated to ensure you continue to provide positive user experiences. At times, you may even need to revamp your website or app. This is where hiring a developer becomes crucial.
Depending on the stage and scale of your product and services, you may need to hire an Apache Airflow developer, multiple engineers, or even a full remote developer team to help keep your business running. If you’re a startup or a company running a website, your product will likely grow out of its original skeletal structure. Hiring full-time remote Apache Airflow developers can help keep your website up-to-date.
To hire an Apache Airflow developer, you need to go through a hiring process of defining your needs, posting a job description, screening resumes, conducting interviews, testing candidates’ skills, checking references, and making an offer.
Arc offers three services to help you hire Apache Airflow developers effectively and efficiently. Hire full-time Apache Airflow developers from a vetted candidates pool, with new options every two weeks, and pay through prepaid packages or per hire. Alternatively, hire the top 2.3% of expert freelance Apache Airflow developers in 72 hours, with weekly payments.
If you’re not ready to commit to the paid plans, our free job posting service is for you. By posting your job on Arc, you can reach up to 450,000 developers around the world. With that said, the free plan will not give you access to pre-vetted Apache Airflow developers.
Furthermore, we’ve partnered with compliance and payroll platforms Deel and Remote to make paperwork and hiring across borders easier. This way, you can focus on finding the right Apache Airflow developers for your company, and let Arc handle the logistics.
There are two types of platforms you can hire Apache Airflow developers from: general and niche marketplaces. General platforms like Upwork, Fiverr, and Gigster offer a variety of non-vetted talents unlimited to developers. While you can find Apache Airflow developers on general platforms, top tech talents generally avoid general marketplaces in order to escape bidding wars.
If you’re looking to hire the best remote Apache Airflow developers, consider niche platforms like Arc that naturally attract and carefully vet their Apache Airflow developers for hire. This way, you’ll save time and related hiring costs by only interviewing the most suitable remote Apache Airflow developers.
Some factors to consider when you hire Apache Airflow developers include the platform’s specialty, developer’s geographical location, and the service’s customer support. Depending on your hiring budget, you may also want to compare the pricing and fee structure.
Make sure to list out all of the important factors when you compare and decide on which remote developer job board and platform to use to find Apache Airflow developers for hire.
Writing a good Apache Airflow developer job description is crucial in helping you hire Apache Airflow developers that your company needs. A job description’s key elements include a clear job title, a brief company overview, a summary of the role, the required duties and responsibilities, and necessary and preferred experience. To attract top talent, it's also helpful to list other perks and benefits, such as flexible hours and health coverage.
Crafting a compelling job title is critical as it's the first thing that job seekers see. It should offer enough information to grab their attention and include details on the seniority level, type, and area or sub-field of the position.
Your company description should succinctly outline what makes your company unique to compete with other potential employers. The role summary for your remote Apache Airflow developer should be concise and read like an elevator pitch for the position, while the duties and responsibilities should be outlined using bullet points that cover daily activities, tech stacks, tools, and processes used.
For a comprehensive guide on how to write an attractive job description to help you hire Apache Airflow developers, read our Software Engineer Job Description Guide & Templates.
The top five technical skills Apache Airflow developers should possess include proficiency in programming languages, understanding data structures and algorithms, experience with databases, familiarity with version control systems, and knowledge of software testing and debugging.
Meanwhile, the top five soft skills are communication, problem-solving, time management, attention to detail, and adaptability. Effective communication is essential for coordinating with clients and team members, while problem-solving skills enable Apache Airflow developers to analyze issues and come up with effective solutions. Time management skills are important to ensure projects are completed on schedule, while attention to detail helps to catch and correct issues before they become bigger problems. Finally, adaptability is crucial for Apache Airflow developers to keep up with evolving technology and requirements.
You can find a variety of Apache Airflow developers for hire on Arc! At Arc, you can hire on a freelance, full-time, part-time, or contract-to-hire basis. For freelance Apache Airflow developers, Arc matches you with the right senior developer in roughly 72 hours. As for full-time remote Apache Airflow developers for hire, you can expect to make a successful hire in 14 days. To extend a freelance engagement to a full-time hire, a contract-to-hire fee will apply.
In addition to a variety of engagement types, Arc also offers a wide range of developers located in different geographical locations, such as Latin America and Eastern Europe. Depending on your needs, Arc offers a global network of skilled software engineers in various different time zones and countries for you to choose from.
Lastly, our remote-ready Apache Airflow developers for hire are all mid-level and senior-level professionals. They are ready to start coding straight away, anytime, anywhere.
Arc is trusted by hundreds of startups and tech companies around the world, and we’ve matched thousands of skilled Apache Airflow developers with both freelance and full-time jobs. We’ve successfully helped Silicon Valley startups and larger tech companies like Spotify and Automattic hire Apache Airflow developers.
Every Apache Airflow developer for hire in our network goes through a vetting process to verify their communication abilities, remote work readiness, and technical skills. Additionally, HireAI, our GPT-4-powered AI recruiter, enables you to get instant candidate matches without searching and screening.
Not only can you expect to find the most qualified Apache Airflow developer on Arc, but you can also count on your account manager and the support team to make each hire a success. Enjoy a streamlined hiring experience with Arc, where we provide you with the developer you need, and take care of the logistics so you don’t need to.
Arc has a rigorous and transparent vetting process for all types of developers. To become a vetted Apache Airflow developer for hire on Arc, developers must pass a profile screening, complete a behavioral interview, and pass a technical interview or pair programming.
While Arc has a strict vetting process for its verified Apache Airflow developers, if you’re using Arc’s free job posting plan, you will only have access to non-vetted developers. If you’re using Arc to hire Apache Airflow developers, you can rest assured that all remote Apache Airflow developers have been thoroughly vetted for the high-caliber communication and technical skills you need in a successful hire.
Arc pre-screens all of our remote Apache Airflow developers before we present them to you. As such, all the remote Apache Airflow developers you see on your Arc dashboard are interview-ready candidates who make up the top 2% of applicants who pass our technical and communication assessment. You can expect the interview process to happen within days of posting your jobs to 450,000 candidates. You can also expect to hire a freelance Apache Airflow developer in 72 hours, or find a full-time Apache Airflow developer that fits your company’s needs in 14 days.
Here’s a quote from Philip, the Director of Engineering at Chegg:
“The biggest advantage and benefit of working with Arc is the tremendous reduction in time spent sourcing quality candidates. We’re able to identify the talent in a matter of days.”
Find out more about how Arc successfully helped our partners in hiring remote Apache Airflow developers.
Depending on the freelance developer job board you use, freelance remote Apache Airflow developers' hourly rates can vary drastically. For instance, if you're looking on general marketplaces like Upwork and Fiverr, you can find Apache Airflow developers for hire at as low as $10 per hour. However, high-quality freelance developers often avoid general freelance platforms like Fiverr to avoid the bidding wars.
When you hire Apache Airflow developers through Arc, they typically charge between $60-100+/hour (USD). To get a better understanding of contract costs, check out our freelance developer rate explorer.
According to the U.S. Bureau of Labor Statistics, the medium annual wage for software developers in the U.S. was $120,730 in May 2021. What this amounts to is around $70-100 per hour. Note that this does not include the direct cost of hiring, which totals to about $4000 per new recruit, according to Glassdoor.
Your remote Apache Airflow developer’s annual salary may differ dramatically depending on their years of experience, related technical skills, education, and country of residence. For instance, if the developer is located in Eastern Europe or Latin America, the hourly rate for developers will be around $75-95 per hour.
For more frequently asked questions on hiring Apache Airflow developers, check out our FAQs page.