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Vetted Google Data Studio 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/) I'm an experienced Senior Data Consultant. I work for large banks and have worked for steel retailers, cargo transport companies and plastic industries, developing projects in Data engineering, integration, architecture, Business intelligence, Data analysis and Machine learning, in both Cloud and on-premisses Big Data environments, having worked in all parts of the process, from data ingestion to final delivery, including sizing, provisioning and management of cloud resources I have had the opportunity to work on BI projects in sales intelligence, operational efficiency, supply chain, controllership and finance, market monitoring, Web Analytics of digital banking products and Open Finance. I also worked on an Azure Cloud implementation project in a large bank, where I participated in the construction of its Big Data environment focused on Machine Learning and BI projects, having worked from absolute scratch. I am currently working on a data integration project between an on-premisses Big Data environment and Salesforce in a large bank, using Spark to process large volumes of data, in the range of billions of records daily. Before working in tech, I worked in various business areas, and it helps me to overcome challenges and deliver greater value faster every day.
Vetted Google Data Studio developer in Brazil (UTC-3)
With over five years of experience in the data realm, I am a Python developer at heart, with a deep dive into data science, data analysis, big data analytics and process automation. In my current role at Acerto, I leverage these skills to develop solutions that aid individuals in overcoming financial obstacles. My focus is on designing efficient algorithms, automating data processes, and deriving actionable insights to guide decision-making. My dedication lies in harnessing technology for meaningful impact, and I am keen to connect with fellow Python enthusiasts and professionals who share a vision for data-driven innovations.
Vetted Google Data Studio developer in Brazil (UTC-3)
I am a Full-Stack Software Engineer and Data Engineer with more than ten years of experience in developing software that improves operations in the education, finance, and health industries. My technical expertise includes Node.js, AWS, NestJS, GraphQL, JavaScript, TypeScript, React.js, Next.js, MySQL, and MongoDB. I am dedicated to writing clean and maintainable code and designing robust software architectures. Throughout my career, I have led the development of full-stack web applications, automated complex processes, and made significant improvements in system scalability and performance. My role often involves building intuitive user interfaces and efficient backend systems, ensuring high availability and security by managing server and database operations, and implementing continuous integration and delivery pipelines. I hold a Bachelor's degree in Computer Science and postgraduate degrees in Data Science and Global Competitiveness Leadership. These qualifications enhance my ability to manage large-scale projects and derive actionable insights from data, driving strategic decisions.
Vetted Google Data Studio developer in Brazil (UTC-3)
I have a strong educational background in civil engineering and water resources, with a Master's degree from the prestigious Federal University of Ceara and a double degree from École Centrale de Lille. I also have a Bachelor's degree in Civil Engineering from the Federal University of Ceara, where I graduated with academic honors. My work experience includes a variety of industries, including software development, real estate, consulting, and management. I have skills in software development, web design, project management, marketing, financial and organizational management, and have experience leading teams and conducting administrative and operational activities. Overall, my diverse set of skills and experiences make me a strong candidate for a range of roles in a variety of industries.
Vetted Google Data Studio developer in Brazil (UTC-3)
Data Engineer & AWS Certified Solution Architect. Holds a BSc degree in Electrical and Computer Engineering from UFMG. Interested in cloud computing, big data technologies and helping companies to get business value from their data.
Vetted Google Data Studio developer in Brazil (UTC-3)
I'm a problem solver with 5+ years of experience and results based on data and business knowledge. I’m very proactive, collaborative and always available to help and support my colleagues. I'm an eager learner mainly interested in Machine Learning, MLOps, Deep Learning and all about technology. Experience in 💼: \> Extracting business value from data and large data sets, predictive modeling, forecasting, optimization, generation of insights and supporting business decision making, problem framing, data analysis, value assurance, development of proof of performance and POC; \> Real estate market, E-commerce, Insurance, predictive maintenance in oil and gas industry; \> Clustering, time series, anomaly detection, feature selection, feature importance, NLP; \> MLOps, development of ML and Deep Learning models, models monitoring, maintenance, experiment, deployment, data drift detection; Programming Languages 💻: Python, R, SQL, VBA (Excel and Word), SAS, Prophet Tools ⚒️ : PySpark/Spark, MLflow, Databricks, Git, Microsoft Azure, AWS, Amazon Sagemaker, Azure DevOps, Google Cloud Platform, MS Office, Data Studio, Power BI, VS code.
Vetted Google Data Studio developer in Brazil (UTC-3)
Senior Data Analyst with over 9 years of experience. Focused on the business side but with extensive knowledge of data technologies. Known for good communication, teamwork and constant seek for knowledge. Last years working with Marketing, Product and Growth insights, such as Attribution and Tracking data. Tech Skills: Python, PySpark, SQL, DAX, M, HTML, Git... Growth: Google Analytics, Firebase Analytics, Appsflyer, Google Tag Manager, Google Optimize, Google Ads Cloud: AWS, GCP Data Viz: Power BI, Tableau, Google Data Studio, Metabase, Matplotlib ETL: SSIS, Airflow IDE: Databricks, Jupyter, VS Code Databases: Big Query, RedShift, PostgreSQL, Snowflake, SQL Server, IBM DB2
Vetted Google Data Studio developer in Brazil (UTC-3)
Data Analyst with over 3 years of experience. Strong organizational skills, successful at managing multiple priorities with a positive attitude and quality-driven. Background includes data mining, python for data analysis, SQL (Redshift and Postgresql) and some ETL, AWS S3 and Lambda. Willingness to take on added responsibilities to meet team goals.
Vetted Google Data Studio developer in Brazil (UTC-3)
Business administrator with 6 years of experience in Business in the financial market, the last 4 years focused on solving business problems with application of statistics in data analysis. I like to understand and solve problems. I have a holistic and strategic vision. I'm curious, I'm always learning something new and I have pro activity, self leadership and interpersonal communication with great public speaking. My experiences are: • Knowledge in exploratory and descriptive statistics. • Knowledge in SQL, R,Scala, Pyspark Python. (pandas, numpy). • Application of best practices in data visualization with storytelling. • Critical and logical thinking, analysis frameworks, problem summarization, good communication and public speaking. • Identification and mapping of short, medium and long term needs. • Acting and participating in the product development process as a member of the scrum team and squads. • Survey of business hypotheses and A/B testing proposals to validate the hypothesis. • Knowledge of the main indicators of digital products (Churn, LTV, cohort, CAC, etc) and creation of custom metrics. • Identification of opportunities for new projects and support for decision making in the business area. • Clarity of the pros and cons of each analysis, regardless of whether all necessary data is available
Vetted Google Data Studio developer in Brazil (UTC-3)
I have 𝟔+ 𝐲𝐞𝐚𝐫𝐬 as a full-stack developer, working with different technologies and frameworks, such as Java, React, Golang, Kotlin, AWS, Azure(𝐀𝐙-𝟗𝟎𝟎 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐞𝐝), GCP, Docker, and others. I have worked for various companies in the banking, health insurance, and telecommunications sectors, delivering high-quality products and services for clients such as Santander, SulAmerica, Vivo Telefonica, and others around the world, including companies based in the US, Latin America, and Europe. Across various roles, I've championed code improvements following Sonar Rules, conducted refactorings, and applied clean code, SOLID principles, and design patterns, significantly enhancing 𝐜𝐨𝐝𝐞 𝐪𝐮𝐚𝐥𝐢𝐭𝐲 𝐛𝐲 𝟖𝟎-𝟗𝟎% in the projects. I have hands-on experience with embedded systems using C/C++ for POS models and banking integrations using Golang. Notably, I contributed to Santander's 'PIX' project, integrating Java microservices with Cobol mainframes using Apache Camel. I thrive on challenging projects and am committed to driving innovation and excellence in every endeavor. Please feel free to explore more about my journey, and don't hesitate to reach out with any questions.
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Ready to hire your ideal Google Data Studio 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 Google Data Studio 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 Google Data Studio 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 Google Data Studio developers can help keep your website up-to-date.
To hire a Google Data Studio 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 Google Data Studio developers effectively and efficiently. Hire full-time Google Data Studio 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 Google Data Studio 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 Google Data Studio 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 Google Data Studio developers for your company, and let Arc handle the logistics.
There are two types of platforms you can hire Google Data Studio 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 Google Data Studio 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 Google Data Studio developers, consider niche platforms like Arc that naturally attract and carefully vet their Google Data Studio developers for hire. This way, you’ll save time and related hiring costs by only interviewing the most suitable remote Google Data Studio developers.
Some factors to consider when you hire Google Data Studio 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 Google Data Studio developers for hire.
Writing a good Google Data Studio developer job description is crucial in helping you hire Google Data Studio 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 Google Data Studio 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 Google Data Studio developers, read our Software Engineer Job Description Guide & Templates.
The top five technical skills Google Data Studio 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 Google Data Studio 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 Google Data Studio developers to keep up with evolving technology and requirements.
You can find a variety of Google Data Studio developers for hire on Arc! At Arc, you can hire on a freelance, full-time, part-time, or contract-to-hire basis. For freelance Google Data Studio developers, Arc matches you with the right senior developer in roughly 72 hours. As for full-time remote Google Data Studio 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 Google Data Studio 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 Google Data Studio developers with both freelance and full-time jobs. We’ve successfully helped Silicon Valley startups and larger tech companies like Spotify and Automattic hire Google Data Studio developers.
Every Google Data Studio 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 Google Data Studio 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 Google Data Studio 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 Google Data Studio 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 Google Data Studio developers, you can rest assured that all remote Google Data Studio 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 Google Data Studio developers before we present them to you. As such, all the remote Google Data Studio 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 Google Data Studio developer in 72 hours, or find a full-time Google Data Studio 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 Google Data Studio developers.
Depending on the freelance developer job board you use, freelance remote Google Data Studio developers' hourly rates can vary drastically. For instance, if you're looking on general marketplaces like Upwork and Fiverr, you can find Google Data Studio 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 Google Data Studio 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 Google Data Studio 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 Google Data Studio developers, check out our FAQs page.