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Vetted Big data technologies 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)
Vetted Big data technologies 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 Big data technologies developer in Brazil (UTC-3)
A driven and self-motivated engineer who uses technology as a tool to solve problems. During my professional life, I accumulate experiences that go beyond tech skills such as team management, financial and accounting, tax, teaching, etc. But the use of technology, such as python, java, artificial neural network, etc. was always there to support every action and decision-making.
Vetted Big data technologies 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 technologies developer in Brazil (UTC-3)
I am a Python Developer with expertise in Machine Learning, Geospatial Analysis, Statistical Analysis and Functional Programming. I hold a BSc in Aerospace Engineering and have worked on impactful projects in AI.
Vetted Big data technologies developer in Brazil (UTC-3)
Professional passionate about data engineering and always wanting to learn more about things. Citizenship: Brazilian/Italian I graduated in information systems at FIAP having 10 years in the technology area currently working as a data engineer. GitHub: [https://github.com/tramontini](https://github.com/tramontini) Medium: [https://medium.com/@tramontini](https://medium.com/@tramontini)
Vetted Big data technologies 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.
Vetted Big data technologies developer in Brazil (UTC-3)
Data Scientist/ML Engineer with five years of experience and a firm grasp of machine learning principles. I excel in Python, PyTorch, SQL, Docker, and GCP/AWS. My main areas of expertise are computer vision, natural language processing, and generative AI.
Vetted Big data technologies 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 technologies 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.
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Ready to hire your ideal Big data technologies 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 technologies 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 technologies 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 technologies developers can help keep your website up-to-date.
To hire a Big data technologies 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 technologies developers effectively and efficiently. Hire full-time Big data technologies 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 technologies 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 technologies 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 technologies developers for your company, and let Arc handle the logistics.
There are two types of platforms you can hire Big data technologies 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 technologies 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 technologies developers, consider niche platforms like Arc that naturally attract and carefully vet their Big data technologies developers for hire. This way, you’ll save time and related hiring costs by only interviewing the most suitable remote Big data technologies developers.
Some factors to consider when you hire Big data technologies 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 technologies developers for hire.
Writing a good Big data technologies developer job description is crucial in helping you hire Big data technologies 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 technologies 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 technologies developers, read our Software Engineer Job Description Guide & Templates.
The top five technical skills Big data technologies 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 Big data technologies 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 technologies developers to keep up with evolving technology and requirements.
You can find a variety of Big data technologies 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 technologies developers, Arc matches you with the right senior developer in roughly 72 hours. As for full-time remote Big data technologies 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 Big data technologies 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 technologies 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 technologies developers.
Every Big data technologies 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 technologies 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 technologies 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 technologies 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 technologies developers, you can rest assured that all remote Big data technologies 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 technologies developers before we present them to you. As such, all the remote Big data technologies 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 technologies developer in 72 hours, or find a full-time Big data technologies 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 technologies developers.
Depending on the freelance developer job board you use, freelance remote Big data technologies developers' hourly rates can vary drastically. For instance, if you're looking on general marketplaces like Upwork and Fiverr, you can find Big data technologies 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 technologies 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 Big data technologies 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 technologies developers, check out our FAQs page.