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Vetted Data Mining developer in Brazil (UTC-3)
Cleyton is a software engineer with 20+ years of experience in all aspects of the software development lifecycle, from concept to development, testing, and management. A specialist in data science and machine learning, he is Google certified and well-versed in various technologies, including Python, Jupyter Notebook, pandas, NumPy, and web scraping. Cleyton is also skilled in back-end technologies, such as Flask, RESTful API, authentication, SQLAlchemy, and PostgreSQL.
Vetted Data Mining developer in Brazil (UTC-3)
MSc in Economics and Econometrics, BS in Electronic Engineering, with a specialization in Business Analytics and certifications in Deep Learning and Generative AI. Accomplished Data Science Leader with over a decade of experience in leadership and senior technical roles. Combines deep expertise in software engineering with a proven track record of driving impactful, data-driven solutions.
Vetted Data Mining developer in Brazil (UTC-3)
**DATA MIGRATION ENGINEER / SYSTEMS ARCHITECT** Dynamic and results-driven systems architect and migration consultant with over 20 years of experience collaborating with diverse client and company teams. Renowned for delivering swift solutions, outstanding operational support, and expertise across a wide range of systems and platforms. **AREAS OF EXPERTISE** * **Telecom Business** * **Call Center Support** * **Siebel CRM** (Communications and Financials) * **Salesforce CRM** * **Netcracker TOMS** * **Data Manipulation and Extraction** * **Oracle DB Programming and Tuning** * **IBM DB2 Programming and Tuning** * **Object-Oriented Programming** * **Data Migration Expertise** * **Data Modeling** * **Ongoing Support and Maintenance** * **Systems Validation**
Vetted Data Mining 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)
Data Mining developer in Brazil (UTC-3)
Data engineer with twelve years of experience, working as a database administrator, data analyst and data engineer, mostly with transactional databases, SQL, Shell script, transactional SQL, business engagement, agile, and for the past three years, working in leadership roles, as a chapter leader and nowadays as the coordinator for the analytics team.
Vetted Data Mining 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 Data Mining 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 Mining developer in Brazil (UTC-3)
With 8 years of experience on digital analytics, I'm looking for a remote or hybrid position due to a relocation. With experiences with data analytics in major agencies and industries like Nestlé and an MBA in the biggest university in Brazil, I'm fully ready to give another step forward on my career.
Vetted Data Mining developer in Brazil (UTC-3)
I'm an Engineer, with a background in Artificial Intelligence, and I've always sought to use technology to solve problems. In my Master's, my study focused on Artificial Neural Networks, and I've published scientific articles and produced a dissertation on the subject. In the last four years, I've dedicated myself to studying Data Science (Python, ML, SQL, Spark). I'm responsible and a team worker. During my career, I've taken on several managerial roles, having even led remote teams. I know how to work with other people and try to treat everyone with respect and courtesy. I'm always open to hearing suggestions, criticisms, and other perspectives. I have just finished the Data Science Bootcamp with the french school Le Wagon. It was an amazing experience and I was able to further consolidate my skills in Data Science: statistics and probability, SQL, Python (Pandas, Numpy, Sklearn, PyTorch, Tensorflow/Keras), NLP, MLOPs basics (Google Cloud). I am searching for new challenges and experiences, and I believe I can make valuable contributions.
Vetted Data Mining 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.
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Ready to hire your ideal Data Mining 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 Data Mining 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 Mining 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 Mining developers can help keep your website up-to-date.
To hire a Data Mining 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 Mining developers effectively and efficiently. Hire full-time Data Mining 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 Mining 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 Mining 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 Mining developers for your company, and let Arc handle the logistics.
There are two types of platforms you can hire Data Mining 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 Mining 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 Mining developers, consider niche platforms like Arc that naturally attract and carefully vet their Data Mining developers for hire. This way, you’ll save time and related hiring costs by only interviewing the most suitable remote Data Mining developers.
Some factors to consider when you hire Data Mining 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 Mining developers for hire.
Writing a good Data Mining developer job description is crucial in helping you hire Data Mining 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 Mining 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 Mining developers, read our Software Engineer Job Description Guide & Templates.
The top five technical skills Data Mining 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 Mining 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 Mining developers to keep up with evolving technology and requirements.
You can find a variety of Data Mining 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 Mining developers, Arc matches you with the right senior developer in roughly 72 hours. As for full-time remote Data Mining 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 Mining 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 Mining 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 Mining developers.
Every Data Mining 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 Mining 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 Mining 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 Mining 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 Mining developers, you can rest assured that all remote Data Mining 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 Mining developers before we present them to you. As such, all the remote Data Mining 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 Mining developer in 72 hours, or find a full-time Data Mining 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 Mining developers.
Depending on the freelance developer job board you use, freelance remote Data Mining developers' hourly rates can vary drastically. For instance, if you're looking on general marketplaces like Upwork and Fiverr, you can find Data Mining 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 Mining 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 Mining 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 Mining developers, check out our FAQs page.