Arc helps you find and hire top freelance Big data technologies engineers for your jobs. With 5,840 Big data technologies programmers available for hire on a freelance basis, we have one of the largest network of vetted talent. Our Silicon Valley-caliber vetting process helps ensure that you hire freelance Big data technologies developers and experts that you can trust.
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)
Big data technologies developer in Portugal
Data leader with 20+ years of experience and a proven track record of building and scaling data teams to devise and implement innovative data strategies and systems for different industry-leading organizations globally. Demonstrated success in streamlining operations, boosting efficiency, implementing a self-service BI program from scratch, and accelerating data analysis, reporting, and visualization that led to better data-driven decision-making. Looking for a challenging Data roles.
Big data technologies developer in Egypt (UTC+2)
Experienced AI and Quantitative Researcher with a solid academic foundation gained through roles as a Teacher's Assistant and Researcher at the University of Computing & Information Technology at AAST. Skilled in creating engaging learning environments and driving forward groundbreaking research endeavors. As an Artisan AI Engineer, I have led numerous projects spanning Reinforcement Learning, NLP, and Computer Vision, showcasing a diverse skill set and a knack for innovation. My academic research primarily focuses on quantitative finance, honing my analytical skills and fueling my passion for developing cutting-edge solutions at the convergence of physical measurement modeling and machine learning.
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.
Big data technologies developer in India (UTC-7)
IT professional with 12+ years working experience and proven expertise in Big Data technologies, Data Lake , Hadoop, Parallel & Distributed Filesystems, Scale Out Storage, and System Software Development, currently building a modern data analytics and AI platform at Oracle . I have been a founding member for multiple open source Apache projects, mentored, and helped develop a highly motivated engineering organization. I have also designed and developed a highly scalable and distributed Object Store Ozone and also worked on file systems like HDFS, GPFS and as well as Big data technologies which includes Hadoop and Spark.
Big data technologies developer in India (UTC-7)
Having 9+ years of experience in Science of the data, I do not hesitate to use adaptations instead of reinventing the wheel. I BELIEVE: 1) Scoping the problem to find its relevance is one of the most important aspects of analytics. 2) Creating partial solutions is better than admiring the problem. Being an impatient learner makes me flexible enough to learn new technologies. Science of data is not just a Tech, but also a LIFE skill!
Big data technologies developer in India (UTC+6)
Seeking a dynamic and stimulating work environment that fosters innovation and challenges my abilities. I aspire to utilize my skills to learn, grow, and contribute effectively to the organization's success while advancing both professionally and personally. I aim to become a valuable asset, leveraging my strengths to drive positive outcomes for the company.
Big data technologies developer in India (UTC+6)
As an eager and highly creative Data Engineer with 3.2 years of experience, I am passionate about creating efficient analytical solutions to communicate strategic insights. With my expertise in data engineering, ETL pipelines, I am looking to leverage my technical and problem-solving skills to drive positive business outcomes for my next organization.
Big data technologies developer in India (UTC+6)
A Competitive programmer regularly participating in coding contests and 2+ years of experience in Highly competent Data Engineer with background in designing, testing, and maintaining data management systems. Possess strong skills in database design. Previous work resulted in optimizing data retrieval processes and improving system efficiency.
Big data technologies developer in India (UTC+6)
I am a software engineer with over three years of experience specializing in microservices, big data processing, distributed systems and cloud technologies. I am proficient in tools and frameworks like Spark, Docker, Kubernetes, BigQuery, Hive, and GCP Dataproc, with strong programming expertise in Java, Python, and C++. At Flipkart, I demonstrated these skills by designing a microservice framework for Spark, MapReduce, and Hive jobs, now used across multiple teams. I led the migration of 50+ workflows to GCP, achieving a 20% improvement in runtime performance while mentoring teams. I have also built low-latency data pipelines, optimized APIs, and implemented cost-saving measures like purging 750TB of stray data. These experiences reflect my ability to build scalable, cloud-based solutions and lead teams to deliver impactful results. I bring a strong combination of technical expertise and leadership skills to tackle complex, innovative projects effectively.
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Get startedArc helps you build your team with our network of full-time and freelance software developers worldwide, spanning 190 countries.
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 developers, 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 engineers 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 developer for your company, and let Arc handle the logistics.
There are two types of platforms you can hire Big data technologies programmers 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 developer candidates.
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 programmers 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 programmers, 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 programmers, 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 (both for depth in Big data technologies and breadth across the greater domain). 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 engineer 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 programmer in 72 hours, or find a full-time Big data technologies programmer 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.