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Vetted Big Data Architecture developer in Brazil (UTC-3)
Passionate self-learner since 13, I embarked on my journey in software development creating game hacks using Assembly, C and a lot of reverse engineering. Over the past 7+ years, I've worked on backend focused roles, building IoT and data-driven projects, team management, embedded systems, leading development teams and contributing to fastpaced startups. My expertise lies in building microservices, event-driven architectures, and data-intensive, performant and scalable software solutions. I am addicted to bug hunting and creating fault-tolerant code, aiming to become a software architect and IoT expert
Vetted Big Data Architecture developer in Brazil (UTC-3)
Skilled Software Developer with a broad range of expertise encompassing Amazon Web Services (AWS), API development, Full Stack, Requests, software engineering, XPath, Web and Mobile App development, SAP, Selenium, Unit Testing, Python Programming, Web Crawling solutions, Automatic Testing, OpenCV, Windows Azure Platform, Cloud Computing, Data Validation, Data Lake, PostgreSQL, MongoDB, Node.js, Business Logic, Vue.js, SAP ERP, JIRA, C#, GitHub, Google Cloud Platform, and Flutter. Daniel has successfully engineered hyperscale SAP and cloud solutions for international companies, leading cloud migration projects and demonstrating proficiency in developing and deploying automation crawlers and APIs. He has a strong track record in software application development, excelling in automated testing methodologies and unit testing and utilizing diverse tech stacks tailored to project requirements. Daniel has also demonstrated crisis management skills in resolving Disaster Recovery.
Vetted Big Data Architecture developer in Brazil (UTC-3)
Experienced Research And Development Specialist with a demonstrated history of working in the computer software industry and academy. Skilled in topics such as Machine Learning, Computer Vision, Software Engineering, and System Architecture. Strong engineering professional graduated from Universidade Estadual de Campinas.
Vetted Big Data Architecture developer in Brazil (UTC-3)
Staff Software Engineer with 15+ years of experience leading and developing scalable, high-availability systems. Proven ability to drive projects from inception to deployment, leveraging expertise in Kotlin, Java, AWS, Google Cloud, and Kubernetes. Successfully led the development of risk analysis and transaction decision systems, improving service reliability and speed. Passionate about incorporating AI into software development, including using SageMaker for fraud detection. I have supplemented my practical experience with self-study courses in LLMs and AI, further enhancing my ability to contribute to innovative solutions. Dedicated to continuous improvement, mentorship, and fostering a collaborative team environment.
Vetted Big Data Architecture developer in Brazil (UTC-3)
Technology professional with over 20 years of experience and an entrepreneur, I have worked on various projects across different business sectors, serving as a developer, analyst, and project manager. I founded my own company, where I developed an advanced platform for the corporate communications market. This venture provided me with valuable insights into areas such as marketing and sales, serving hundreds of clients. Additionally, I collaborate with international companies in the data field, from collection to final analysis. I have a special interest and expertise in data, with several relevant certifications such as AZ-900, DP-900, PL-300, and DP-203. My professional role involves structuring data for companies, including architecture, engineering, and data analysis. I have experience with technologies such as Azure, AWS, Power BI, SQL Server, MySQL, Snowflake, Python, DWs, and DevOps. Skills Data Engineering • SQL • Data Warehousing • Power BI • Business Analysis • Snowflake • Azure Data Factory • Databricks • Data Modeling • ETL/ELT • C# • Python Check my portfolio in [https://portfolio.sigeweb.com.br/](https://portfolio.sigeweb.com.br/)
Vetted Big Data Architecture developer in Brazil (UTC-3)
I am a Brazilian Data Engineer with 8+ years of hands-on experience designing end-to-end solutions from ETL pipelines, algorithms, databases and architectures that leverage data to empower decision-making in different industries, mixing digital marketing with business data. Driven to solve complex challenges with advanced tools and technologies, enjoying the balance of hands-on work and team coordination to deliver impactful, collaborative solutions. With strong communication skills that bridge technical and business domains, combined with an analytical and collaborative mindset, I’ve had an active role in important projects for industry giants such as Vivo (Telefonica), Samsung, Unilever, Gerdau, Volvo, Hyundai and Reckitt Benckiser. I currently work as Head of Data Engineering at Cadastra, a global digital marketing agency.
Vetted Big Data Architecture developer in Brazil (UTC-3)
I have 12+ years of experience in technology with a strong background in software development using languages such as Scala, Python, and Java. Over the last 7 years, I transitioned into a data engineering role, contributed to and led end-to-end data projects, optimizing cloud-based architectures, and improving data pipelines for scalability and performance. **Some Certifications:** * AWS Solutions Architect Associate (AWS, emitted on 03/2024) * AWS Data Analytics Specialty (AWS, emitted on 10/2022) * AWS Cloud Practitioner (AWS, emitted on 05/2022) * Databricks Data Engineer Associate (AWS, emitted on 11/2022)
Vetted Big Data Architecture developer in Brazil (UTC-3)
Sr Data Engineer | AWS Solutions Architect Certified | Spark Databricks developer Certified * 📷Sigma Software Group * 📷Federal University of Viçosa I'm Igor and I'm working in the IT area since 2015. I started my career being a software engineer, working on the backend, front end development, and DevOps, but at that time we already handled lots of data, but some datasets had become pretty much larger than we had used to see, so I discovered my real passion: the big data world. So I decided to jump into the data world where I'm until today. I'm a Data Engineer more focused on programming and infrastructure, so I have worked providing larger data engineering teams with some customized tools to help them during their data pipeline development. I have experience in providing and maintaining big data clusters, either on-premises or on the cloud, with some ready-to-use open-source (or customized) tools like Hadoop, Spark, Hive, Presto, Druid, Sqoop, NiFi, and others. Across all my work experience, I have done some user education 1:1s and training sessions to help our consumers on using our tooling efficiently. Also, sometimes I was allocated to some projects in order to help in data pipeline development using both real-time and batch approaches. One of my greatest achievements regarding this was designing and developing an automated framework for ETL development where business users can focus more on data pipeline development rather than what surrounds it. This project has been largely used and improved nowadays by the responsible team. I have also experience with ML in production or MLOps. I have worked as a technical lead in an MLOps squad helping my team on designing and development of a whole ML platform where users can develop, build, deploy and monitor their own ML models using some key concepts like model bias, input/output data drift (data quality and integrity) without any DevOps skills or extra knowledge
Vetted Big Data Architecture developer in Brazil (UTC-3)
_**A cloud certified developer with 10 years of experience responsible for complex modelling and engineering of vast amounts of data.**_ * Certified AWS Solutions Architect Associate and AWS Machine Learning Specialty. * Among consolidated technical skills are Deep Learning, NLP, LLM, embedded systems programming; data analysis development and programming; cloud computing; Big Data and large-scale database queries; Machine Learning modeling and statistical tests for data analysis; exploratory analysis, data visualization and dashboard creation. * Control and Automation Engineer with Master's and Postgraduate degrees, both with an emphasis in relevant areas for data analysis and Artificial Intelligence. * Award in national Data Mining competition. * Portfolio includes parallel projects such as the development of a Web App for analyzing sporting events, demonstrating ability to innovate and apply knowledge in a practical and impactful way. * Proficient in languages and tools such as Python, SQL, R, Tensorflow, Keras, Pandas, ScikitLearn, Plotly DASH, Tableau, Power BI, among others. Stands out not only for his extensive experience and technical qualifications, but also for his ability to apply his skills in an impactful way, generating real value for the institutions he has worked for.
Vetted Big Data Architecture developer in Brazil (UTC-3)
Experienced Java Backend Developer with 6+ years of expertise in designing, building, and maintaining scalable applications, microservices, and RESTful APIs. Proficient in the Spring Framework (Spring Boot, Data, Security) and Java EJB, with hands-on experience integrating SQL and NoSQL databases. Passionate about leveraging Clean Code principles to deliver robust, maintainable, and user-focused solutions that enhance efficiency and performance.
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Ready to hire your ideal Big Data Architecture developers?
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 Big Data Architecture 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 a Big Data Architecture 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 Big Data Architecture developers can help keep your website up-to-date.
To hire a Big Data Architecture 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 Big Data Architecture developers effectively and efficiently. Hire full-time Big Data Architecture 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 Big Data Architecture 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 Big Data Architecture 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 Big Data Architecture developers for your company, and let Arc handle the logistics.
There are two types of platforms you can hire Big Data Architecture 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 Big Data Architecture 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 Big Data Architecture developers, consider niche platforms like Arc that naturally attract and carefully vet their Big Data Architecture developers for hire. This way, you’ll save time and related hiring costs by only interviewing the most suitable remote Big Data Architecture developers.
Some factors to consider when you hire Big Data Architecture 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 Big Data Architecture developers for hire.
Writing a good Big Data Architecture developer job description is crucial in helping you hire Big Data Architecture 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 Big Data Architecture 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 Big Data Architecture developers, read our Engineer Job Description Guide & Templates.
The top five technical skills Big Data Architecture developers should possess include proficiency in programming languages, understanding data structures and algorithms, experience with databases, familiarity with version control systems, and knowledge of 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 Big Data Architecture 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 Big Data Architecture developers to keep up with evolving technology and requirements.
You can find a variety of Big Data Architecture developers for hire on Arc! At Arc, you can hire on a freelance, full-time, part-time, or contract-to-hire basis. For freelance Big Data Architecture developers, Arc matches you with the right senior developer in roughly 72 hours. As for full-time remote Big Data Architecture 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 engineers in various different time zones and countries for you to choose from.
Lastly, our remote-ready Big Data Architecture 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 Big Data Architecture developers with both freelance and full-time jobs. We’ve successfully helped Silicon Valley startups and larger tech companies like Spotify and Automattic hire Big Data Architecture developers.
Every Big Data Architecture 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 Big Data Architecture 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 Big Data Architecture 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 Big Data Architecture 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 Big Data Architecture developers, you can rest assured that all remote Big Data Architecture 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 Big Data Architecture developers before we present them to you. As such, all the remote Big Data Architecture 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 Big Data Architecture developer in 72 hours, or find a full-time Big Data Architecture 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 Big Data Architecture developers.
Depending on the freelance developer job board you use, freelance remote Big Data Architecture developers' hourly rates can vary drastically. For instance, if you're looking on general marketplaces like Upwork and Fiverr, you can find Big Data Architecture 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 Big Data Architecture 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 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 Big Data Architecture 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 Big Data Architecture developers, check out our FAQs page.