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Vetted Data modeling developer in Brazil (UTC-3)
With over 25 years of experience in the software industry, I am a data modeling expert who facilitates cutting-edge solutions for data integration and analytics. I have developed and honed my technical skills as a data modeler, data architect, PL\*SQL developer, SQL developer, and project manager, working with diverse and complex data sources such as databases, flat files, Oracle, and others. Currently, I am providing data modeling and ETL/ELT services to Nestlé USA through Code 17 TEK and Tiger Analytics, two leading data analytics companies. My role involves creating and managing structured data for the integration of several different applications and enabling the business to make evidence-based decisions. In previous positions, I have led and supported large data projects in various fields such as lubes, energy, fare management, GPS/GPRS tracking systems, CRMs, construction, and others. I have also acquired good communication skills, working with teams around the globe such as Germany, Vienna, Abu Dhabi, Canada, India, and the US.
Vetted Data modeling developer in Brazil (UTC-3)
With over 17 years of expertise in computational system analysis, research, and development, I have a strong background in backend web technologies, including Python, Golang, Rust, and TypeScript (NodeJS). I have delivered scalable solutions within microservices architectures. Nowadays, I am focused on advancing my knowledge in Artificial Intelligence, concentrating on Model Selection, Hyperparameter Tuning, and Reinforcement Learning to drive cutting-edge solutions.
Vetted Data modeling 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 Data modeling developer in Brazil (UTC-3)
Hi! Do you want to know about my work experience? I love teaching programming, especially programming with Python. Work experience with projects, data engineering, and data science: * Work experience creating machine learning models, such as Demand Forecasting, Fraud in-app payments, House prices prediction, Delivery time model (ETA), consumer retention, and dynamic pricing of bottles; * Work experience with serverless infrastructure, API Rest, Lambda Functions (AWS), Azure Functions (Azure), and Cloud Functions (GCP); * Work experience creation ETL flow using Beautiful Soup, Requests and saving data inside a Data lake such as S3 or Amazon Redshift. After that, i created a data warehouse using Snowflake; * Work experience with Snowflake; * Work experience creating a Data Catalog, Data lineage, and Business glossary product; * Work experience in Data Visualization ( Tableau, Power BI, Data Studio ); * Work experience in data analyses; * Work experience implementing a governed data lake at the cloud ( GCP, AWS, Databricks); * Solid knowledge about Data Quality; \-Bachelor in Electronic Engineer and Data Science
Vetted Data modeling 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 Data modeling developer in Brazil (UTC-3)
I am a skilled Data Engineer and Architect with experience in building EDWs, data modeling, ETL processes, and implementing new technologies like Snowflake, DBT, and Airflow. My expertise includes SQL, NoSQL, and BI tools.
Vetted Data modeling developer in Brazil (UTC-3)
As a Senior Data Engineer with close to three decades of experience, I possess a diverse background in software engineering, technical leadership, and education, specializing in database and data engineering. I excel in crafting data analytics solutions using a robust skill set encompassing AWS, Python, SQL, NoSQL, Terraformand Machine Learning. My career journey has revolved around thriving in agile environments, utilizing methodologies like Scrum to design and implement solutions across a spectrum of industries. Notably, I've contributed my expertise to esteemed entities such as Sicredi Bank, IBM, Rio Grande Energia, Procempa, as well as startups including Elofy and Imagen Technologies, spanning financial, technology, utilities, governmental, HR, and healthcare sectors. My approach is characterized by a proactive, inquisitive nature, coupled with a relentless pursuit of self-improvement and innovation. Bolstering this, I hold a Master's Degree focusing on NLP and Machine Learning, complemented by an AWS Certification.
Vetted Data modeling developer in Brazil (UTC-3)
Full stack developer and solution architect with over 5 years of successful experience in Node.js, ReactJS JavaScript/TypeScript. Recognized consistently for performance excellence and contributions to success in front-end and back-end development. Strengths in PostgreSQL, ElasticSearch, GCP, AWS, Docker and Terraform backed by developing and deploying data driven platforms and applications from scratch.\`
Vetted Data modeling developer in Brazil (UTC-3)
I am a Data Engineer with experience in building scalable data pipelines, managing data warehouses, developing interactive dashboards, and implementing cloud infrastructure using various technologies and languages. My background includes Data and Analytics Engineering roles, as well as founding a language school. I hold multiple AWS certifications and have expertise in Python, Spark, SQL, and other tools.
Vetted Data modeling developer in Brazil (UTC-3)
As a Data Engineer with over 3 years of experience, I've led multiple data migration projects and developed robust ETL pipelines using AWS and PySpark. I've improved data processing efficiency by implementing automated workflows and achieving 98% code coverage in testing. Currently working in the automotive industry, I integrate AI/ML solutions while collaborating with international teams. With a strong background in Computer Science, post-graduate studies in AI / Big Data, and an MBA in Software Engineering, I combine technical expertise in Python, SQL, and cloud technologies with a passion for building scalable data solutions.
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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 Data modeling 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 Data modeling 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 Data modeling developers can help keep your website up-to-date.
To hire a Data modeling 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 Data modeling developers effectively and efficiently. Hire full-time Data modeling 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 Data modeling 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 Data modeling 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 Data modeling developers for your company, and let Arc handle the logistics.
There are two types of platforms you can hire Data modeling 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 Data modeling 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 Data modeling developers, consider niche platforms like Arc that naturally attract and carefully vet their Data modeling developers for hire. This way, you’ll save time and related hiring costs by only interviewing the most suitable remote Data modeling developers.
Some factors to consider when you hire Data modeling 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 Data modeling developers for hire.
Writing a good Data modeling developer job description is crucial in helping you hire Data modeling 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 Data modeling 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 Data modeling developers, read our Software Engineer Job Description Guide & Templates.
The top five technical skills Data modeling 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 Data modeling 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 Data modeling developers to keep up with evolving technology and requirements.
You can find a variety of Data modeling developers for hire on Arc! At Arc, you can hire on a freelance, full-time, part-time, or contract-to-hire basis. For freelance Data modeling developers, Arc matches you with the right senior developer in roughly 72 hours. As for full-time remote Data modeling 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 Data modeling 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 Data modeling developers with both freelance and full-time jobs. We’ve successfully helped Silicon Valley startups and larger tech companies like Spotify and Automattic hire Data modeling developers.
Every Data modeling 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 Data modeling 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 Data modeling 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 Data modeling 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 Data modeling developers, you can rest assured that all remote Data modeling 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 Data modeling developers before we present them to you. As such, all the remote Data modeling 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 Data modeling developer in 72 hours, or find a full-time Data modeling 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 Data modeling developers.
Depending on the freelance developer job board you use, freelance remote Data modeling developers' hourly rates can vary drastically. For instance, if you're looking on general marketplaces like Upwork and Fiverr, you can find Data modeling 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 Data modeling 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 Data modeling 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 Data modeling developers, check out our FAQs page.