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Data Lake developers in Brazil - Edson P.
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Edson P.

Vetted Data Lake 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.

Data Lake developers in Brazil - Lucas S.
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Lucas S.

Vetted Data Lake developer in Brazil (UTC-3)

I am a Brazilian professional with experience in data analysis, business operations, and product development. I have a background in IT and artificial intelligence, with a focus on continuous improvement and data science.

Data Lake developers in Brazil - Gabriel .
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Gabriel .

Vetted Data Lake developer in Brazil (UTC-3)

I am a skilled and highly qualified professional with 8 years of experience in the field. I hold a Master’s Degree in Data Science, Bachelor's Degree in Computer Engineering and MBA in Project Management. Throughout my career, I have honed my expertise in various domains, including data engineering, data science, and machine learning. My passion lies in leveraging cutting-edge technologies and innovative solutions to drive data-centric projects to success. With a strong background in Azure technologies, I have excelled in roles such as Azure Data Engineer and Data Scientist. I possess extensive knowledge and hands-on experience in designing and implementing robust data pipelines, utilizing tools like Azure Data Factory and Databricks. I am adept at transforming raw data into valuable insights, employing ETL techniques, advanced analytics, and Data Science. My expertise spans a wide range of technical skills, including Python, SQL, Apache Spark (PySpark), and multiple Azure services for data. Whether it's developing and deploying machine learning models or troubleshooting intricate data workflows, I strive for excellence in every aspect of my work. Throughout my career journey, I have earned multiple certifications from Microsoft, solidifying my expertise in Azure Data Science and Data Engineering. These certifications validate my commitment to staying at the forefront of technological advancements and continuously expanding my skill set. In summary, I am a dedicated professional with a proven track record of delivering high-quality solutions in the data field. With my strong technical acumen, extensive experience, and passion for innovation, I am poised to tackle complex data challenges and drive transformative outcomes for organizations.

Data Lake developers in Brazil - Roberto J.
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Roberto J.

Vetted Data Lake developer in Brazil (UTC-3)

Work experience with projects, data engineering and data governance: \- Work experience creating a Data Lakes and Data Warehouses and Business glossary product; \- Work experience in Data Visualization ( Looker, Tableau, Power BI, Data Studio ); \- Work experience in data analyses (SQL, Excel); \- Work experience in jobs orchestration (GCC, Airflow); \- Work experience in ETL (Python, Spark, SQL); \- Work experience implementing a governed data lake at the cloud ( GCP); \- Fluent in English and French; \- Solid knowledge in programming; \- Solid knowledge in Data Quality; \- Work experience with many stakeholders having a great and clear communication;

Data Lake developers in Brazil - Diogenes M.
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Diogenes M.

Vetted Data Lake developer in Brazil (UTC-3)

Senior FullStack developer, primarily backend, almost a decade working with startup fast paced environment and with strong experience with Node.js, TypeScript, NestJS and Express and all major frontend frameworks, React and Vue 3, also have been working with sql and NoSql mainly MongoDB, PostgreSQL and SQL. Always striving to deliver high quality, clean, simple and manutenable code, aiming scalable and useful solutions for business problems. Great experience with 3rd party rest integrations and rest applications, along with CI/CD pipelines using Github Actions and GCP Cloud Run and AWS ECR.

Data Lake developers in Brazil - Paulo A.
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Paulo A.

Vetted Data Lake developer in Brazil (UTC-3)

Hi, I'm Paulo! As a dynamic Data Engineer and Senior Data Specialist with over 12 years in the tech industry, my career has been shaped not just by technology, but by a genuine curiosity to solve complex problems. Starting from my foundation in Production Engineering and further expanding through a postgraduate degree in Software Engineering, I’ve always been fascinated by how data can drive impactful business results. My journey has taken me through diverse challenges, from building ETL pipelines that scale across different platforms to automating workflows using Power Automate and creating custom applications with Power Apps. But what truly motivates me is seeing the real-world impact these solutions have on organizations and teams. Currently, as a Senior Data Specialist at CI&T, I’m diving deeper into Azure Data Factory, Apache Spark, and distributed computing to drive even greater innovation. I thrive in collaborative environments, having worked closely with cross-functional teams to ensure data architectures align with business goals, leading to successful projects and lasting partnerships with clients around the world. Beyond the tech, I’m passionate about continuous learning. I’m currently pursuing certifications in Microsoft Azure Data Engineering and GCP Professional Data Engineering to keep pushing my limits.

Data Lake developers in Brazil - Gabriel B.
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Gabriel B.

Vetted Data Lake developer in Brazil (UTC-3)

* Proficient data engineer experienced in ETL development, cloud-based data warehousing, and Python scripting for data manipulation. * Skilled in leading teams and collaborating with cross-functional stakeholders to meet project objectives and enhance data accessibility. * Experienced in back-end development with a strong background in PHP, NodeJS, and Python frameworks like Django. * Proficient in utilizing a variety of technologies including AWS, Azure, Apache Airflow, and MongoDB to architect and implement end-to-end data pipelines. * Fluent in both Portuguese and English, facilitating effective communication in multinational environments.

Data Lake developers in Brazil - Marcel P.
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Marcel P.

Vetted Data Lake 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.

Data warehouse • 5 yrsData Engineering • 5 yrsBig Data • 3 yrsData Visualization • 7 yrsData modeling • 5 yrsData Pipelines • 5 yrsData MiningData analysisData MigrationData structureData processingData ManagementData analyticsData CleansingData CleaningData IntegrationGoogle Data StudioData LakeData IngestionData architectureBig Data SQLPentaho Data IntegrationData QualityData manipulationData wranglingData ValidationBig Data EngineeringAzure Data FactoryData governanceBig data technologiesData Warehouse TestingDelta LakeBig Data ArchitectureAzure Data EngineerVisual Data AnalyticsAzure Data LakeData pipeline designData Version ControlData SciencePerformance OptimizationETLAzurePythonSQLScalaMySQLGitMongoDBDatabasePostgreSQLSharePointNumPyGitHubAmazon S3Google AnalyticsPandasWeb ScrapingCloudQuery OptimizationSASIntegrationGitLabFabricAzure Queue StorageGoogle BigQueryDatabase NormalizationDockerPython 3TeradataPipelinesScrumLeadershipKanbanOLAPTableauSQL QueriesDatabase TuningIBM DB2Apache SparkMicrosoft SQL ServerAmazon RedshiftApache KafkaSQL TuningAzure SQLPower QueryLive StreamingHiveQLPentahoStar SchemaQlik SenseJupyterTerraformApache HadoopAzure Machine LearningInfrastructure as CodeDAXAzure Service fabricUX/UI DesignCloud ArchitecturePower BIAgileSQL DatabasesLookerSnowflakeAirflowAlteryxApache AirflowAzure SQL DatabaseDataflowAzure table storageDatabricksJupyterLabApache NiFiMicrosoft Power AppsAzure Blob StorageAzure SQL ServerSQL Performance TuningMicrosoft service fabricDBTMicrosoft Power AutomateDataverseAzure synapse analyticsAzure synapseDelta TablesUX designAzure IoT EdgeJSONExcelMachine learningNoSQLAnalyticsWeb analyticsWireframing/prototypingUX ReviewUI designAnalysisMathematicsRequirements GatheringTechnical WritingNoSQL DatabaseProblem solvingApache HiveMicrosoft Power PlatformQAStatisticsStrategy
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Data Lake developers in Brazil - Victor B.
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Victor B.

Vetted Data Lake 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.

Data Lake developers in Brazil - Diego C.
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Diego C.

Vetted Data Lake developer in Brazil (UTC-3)

Career spanning over a decade in backend software development, demonstrating expertise in complex server-side technologies across international projects in major companies, focusing on robust and scalable system architecture. Demonstrated expertise in managing full software development lifecycle, from requirements analysis to deployment, particularly in high-performance trading systems and synchronization applications at Litebit and Progress Rail. Proven success in designing, coding, testing, and optimizing systems like the Exchange Matching Engine, which achieved high operational throughput, and the Locomotive Data Center, enhancing real-time monitoring capabilities. Proficient in diverse software architectures and technologies, including C#, PHP and front-end technologies. Skilled in DDD, Event Sourcing, and Agile methodologies, ensuring best practices in software development. Strong leadership skills, evidenced by mentoring junior developers and contributing to strategic project planning and resource management. Deeply involved in user engagement for ERP system development, enhancing user experience. Worked extensively as a freelancer, developing and maintaining a variety of web systems, and as a trainee at BRQ IT Services, focusing on COBOL programming, demonstrating a broad skill set and adaptability to different environments. Willing and available to travel both domestically and internationally, bringing a rich blend of technical prowess, leadership, and strategic vision to global software development projects.

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Why clients hire Data Lake developers with Arc

Without Arc by my side, I would be wasting a lot of time looking for and vetting talent. I'm not having to start a new talent search from scratch. Instead, I’m able to leverage the talent pool that Arc has created.
Mitchum Owen
Mitchum Owen
President of Milo Digital
The process of filling our position took less than a week and they found us a superstar. They've had the flexibility to meet our specific needs every step of the way and their customer service has been top-notch since day one.
Matt Gysel
Matt Gysel
Finance & Strategy at BaseVenture
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.
Philip Tsai
Philip Tsai
Director of Engineering at Chegg

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Data Lake developers
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Arc Data Lake developers
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Arc offers pre-vetted remote software developers skilled in every programming language, framework, and technology.
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FAQs

Why hire a Data Lake developer?

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 Lake 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 Lake developers can help keep your website up-to-date.

How do I hire Data Lake developers?

To hire a Data Lake 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 Lake developers effectively and efficiently. Hire full-time Data Lake 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 Lake 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 Lake 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 Lake developers for your company, and let Arc handle the logistics.

Where do I hire the best remote Data Lake developers?

There are two types of platforms you can hire Data Lake 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 Lake 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 Lake developers, consider niche platforms like Arc that naturally attract and carefully vet their Data Lake developers for hire. This way, you’ll save time and related hiring costs by only interviewing the most suitable remote Data Lake developers.

Some factors to consider when you hire Data Lake 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 Lake developers for hire.

How do I write a Data Lake developer job description?

Writing a good Data Lake developer job description is crucial in helping you hire Data Lake 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 Lake 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 Lake developers, read our Software Engineer Job Description Guide & Templates.

What skills should I look for in a Data Lake developer?

The top five technical skills Data Lake 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 Lake 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 Lake developers to keep up with evolving technology and requirements.

What kinds of Data Lake developers are available for hire through Arc?

You can find a variety of Data Lake 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 Lake developers, Arc matches you with the right senior developer in roughly 72 hours. As for full-time remote Data Lake 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 Lake developers for hire are all mid-level and senior-level professionals. They are ready to start coding straight away, anytime, anywhere.

Why is Arc the best choice for hiring Data Lake developers?

Arc is trusted by hundreds of startups and tech companies around the world, and we’ve matched thousands of skilled Data Lake 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 Lake developers.

Every Data Lake 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 Lake 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.

How does Arc vet a Data Lake developer's skills?

Arc has a rigorous and transparent vetting process for all types of developers. To become a vetted Data Lake 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 Lake 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 Lake developers, you can rest assured that all remote Data Lake developers have been thoroughly vetted for the high-caliber communication and technical skills you need in a successful hire.

How long does it take to find Data Lake developers on Arc?

Arc pre-screens all of our remote Data Lake developers before we present them to you. As such, all the remote Data Lake 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 Lake developer in 72 hours, or find a full-time Data Lake 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 Lake developers.

How much does a freelance Data Lake developer charge per hour?

Depending on the freelance developer job board you use, freelance remote Data Lake developers' hourly rates can vary drastically. For instance, if you're looking on general marketplaces like Upwork and Fiverr, you can find Data Lake 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 Lake 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.

How much does it cost to hire a full time Data Lake developer?

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 Lake 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 Lake developers, check out our FAQs page.

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