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Arc helps you find and hire top freelance MapReduce engineers for your jobs. With 350,000+ software 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 MapReduce developers and experts that you can trust.
Senior Freelance MapReduce Developer
I enjoy designing, building and deploying Machine Learning solutions as an end to end scalable products. 🛰 I’ve built AI/ML capabilities from the ground up in organizations of all sizes on two continents, from Fortune 250 companies to early age startups. 🚩 I'm a Mentor and Advisor to various early stage AI startups. 👨🔬 I’ve spearheaded the development of high-performance, data-driven products across multiple industries, from real-time model training to AI agents powered by the latest advancements in Large Language Modes (LLMs). 🌍 𝕂𝕖𝕪 𝕀𝕟𝕟𝕠𝕧𝕒𝕥𝕚𝕠𝕟𝕤 & 𝔸𝕔𝕙𝕚𝕖𝕧𝕖𝕞𝕖𝕟𝕥𝕤: 𝗙𝗲𝗮𝘁𝘂𝗿𝗲 𝗦𝘁𝗼𝗿𝗲 𝗣𝗹𝗮𝘁𝗳𝗼𝗿𝗺 (Offline & Online) – U.S. Patent Filed 𝗗𝗮𝘁𝗮 𝗤𝘂𝗮𝗹𝗶𝘁𝘆 𝗠𝗼𝗻𝗶𝘁𝗼𝗿𝗶𝗻𝗴 (DQM) – U.S. Patent Filed 𝗟𝗟𝗠 𝗙𝗶𝗻𝗲-𝗧𝘂𝗻𝗶𝗻𝗴 for Text Generation – U.S. Patent Filed Gen𝗔𝗜 𝗔𝗴𝗲𝗻𝘁𝘀, RAG, Vector DBs, Prompt Flows, LLMs, Function Calling 𝗡𝗲𝗮𝗿 𝗥𝗲𝗮𝗹-𝗧𝗶𝗺𝗲 𝗠𝗼𝗱𝗲𝗹 𝗧𝗿𝗮𝗶𝗻𝗶𝗻𝗴 & 𝗜𝗻𝗳𝗲𝗿𝗲𝗻𝗰𝗲 Architecting 𝗹𝗼𝘄-𝗹𝗮𝘁𝗲𝗻𝗰𝘆, 𝘀𝗰𝗮𝗹𝗮𝗯𝗹𝗲 𝗠𝗟𝗢𝗽𝘀 𝗽𝗶𝗽𝗲𝗹𝗶𝗻𝗲𝘀 with millisec performance Trained numerous high-performance ML models across domains 𝕋𝕖𝕔𝕙𝕟𝕚𝕔𝕒𝕝 𝔼𝕩𝕡𝕖𝕣𝕥𝕚𝕤𝕖 & 𝕋𝕠𝕠𝕝𝕤 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜 𝗠𝗼𝗱𝗲𝗹𝘀 – Claude 3.5 Sonnet, Llama 3, GPT-4, Titan Text Embeddings v2 𝗔𝗜 𝗳𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸𝘀 – Azure AI Studio, Amazon Bedrock, LangChain, LangSmith, Llama Index, Hugging Face 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 – Python, CI/CD, AWS CDK, Serverless, API, Shell Scripting, JSON, YML 𝗕𝗶𝗴 𝗗𝗮𝘁𝗮 – Apache Spark, Hadoop, Airflow, Redshift, Oracle, Snowflake, Databricks 𝗔𝗪𝗦 – EMR, Sagemaker, Glue, DynamoDB, Aurora, Lambda, API Gateway, EC2, Fargate, ECS, ECR, Cloud Formation, Step Function, Events, Athena, S3, ALB 𝗚𝗖𝗣 – BigQuery, Cloud Functions, Google Vertex Platform, DataProc, Cloud Run 𝐖𝐞𝐛 - Streamlit, Flask, HTML, CSS, JavaScript 𝕄𝕒𝕔𝕙𝕚𝕟𝕖 𝕃𝕖𝕒𝕣𝕟𝕚𝕟𝕘 𝔻𝕠𝕞𝕒𝕚𝕟: ~ User Personalization (Recommendation/Matching) ~ Pricing ~ Chatbots (GenAI LLM Agents) ~ Customer CLTV, Retention & Segmentation ~ Fraud Detection (Anomoly) ~ Advanced Analytics
Senior Freelance MapReduce Developer
* Experienced in leveraging AWS technologies (Lambda, EC2, Beanstalk, DynamoDB, RDS, EMR, S3, SQS, etc) and opensource technologies like Cassandra, RabbitMQ, etc to solve problems and develop solutions. * I also have experience with various data science and quant libraries like numpy, pandas, scipy, quantlib, pinescript, etc. * I am someone who is empathetic, patient but a go-getter who likes to learn by doing and hacking. * I hold myself to high standards of a software professional. This means that I am committed to: write the best code I can produce in the scope of the project, accountability, responsiveness, and setting clear expectations.
Senior MapReduce Developer
Building things like software products and intelligent machines and systems is the best job in the world! So if you want to have a chat about computers, let me know.
Freelance MapReduce Developer
I am currently working at Okta as a senior software engineer. Prior to that, I worked at Salesforce as an MTS. I worked for sales cloud as a full-stack engineer. I am a hybrid engineer and my day-to-day work includes 70-75% of development and 25-30 % of automation and testing. I have a paper published in Image processing and Machine learning. I have previously worked at Synopsys as a full-time R&D engineer ||. Feel free to reach out at [akand002@ucr.edu](mailto:akand002@ucr.edu), if you have anything interesting for me. Competencies: C, C++, Java, Matlab,Hadoop, Lucene,Simba,appium, git, html, css, spark, JUnit.
Senior MapReduce Developer
I have been delivering technical training courses for over 5 years on a variety of subjects. I teach Productive Software Engineering classes at ITMO University. I can help by giving full courses, pair programming to help you learn or if you have a specific problem you're trying to solve I'll work with you through it to help you resolve it and understand the solution. I have experience working in large corporations like Google & small startups both as an individual contributor and engineering manager. I'm passionate about helping others grow. Also, I'm super excited about finding the right balance between moving fast and a strategic programming approach.
Senior Freelance MapReduce Developer
IT professional with over 16 years of experience specializing in machine learning, data mining, and predictive analytics. Skilled in managing large-scale datasets—both structured and unstructured—from acquisition to validation, advanced modeling, and visualization. Proven track record in developing and deploying data-driven solutions using a range of machine learning techniques, statistical tools, and cloud technologies. Proficient in Python, R, C++, Go, and PHP, with deep expertise in SAS programming, SQL databases, and NoSQL technologies such as MongoDB and Cassandra. Extensive experience in designing data visualizations with Tableau and Looker to drive strategic decision-making.
Senior MapReduce Developer
Accomplished software engineer with over 9 years of proven leadership and excellence in automation testing. Adept at spearheading teams, driving engineering initiatives, and optimizing processes. Seeking a challenging role to leverage my extensive experience in enhancing productivity and contributing to a dynamic, innovative organization.
Freelance MapReduce Developer
Accomplished and collaborative software engineer with valuable experience contributing to high-traffic applications, managing big data, and building reliable infrastructure.
Freelance MapReduce Developer
Python Developer with over four years of experience in AWS and big data technologies. Skilled in designing robust, scalable solutions and developing efficient, resilient applications. Adept at translating complex business requirements into effective technical solutions and passionate about using technology to address complex challenges and help people.
Freelance MapReduce Developer
Results-driven Data Scientist with full-stack experience, adept at influencing product and business decisions through data-driven insights. Entrepreneurial mindset, Medical AI enthusiast, thriving in ambiguous environments and building features from concept to deployment. Proven track record of developing and implementing machine learning solutions that drive business value.
Meet MapReduce freelancers with verified technical and communication skills who are ready to interview.
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Hire a MapReduce contract developer in 72 hours
Describe the MapReduce developer you're looking for.
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When ready, select a developer to hire.
Ready to hire your ideal freelance MapReduce?
Get startedArc helps you build your team with our network of full-time and freelance MapReduce 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 MapReduce 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 MapReduce developers can help keep your website up-to-date.
To hire a MapReduce 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 MapReduce developers effectively and efficiently. Hire full-time MapReduce 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 MapReduce 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 350,000 developers around the world. With that said, the free plan will not give you access to pre-vetted MapReduce 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 MapReduce developer for your company, and let Arc handle the logistics.
There are two types of platforms you can hire MapReduce 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 MapReduce 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 MapReduce developers, consider niche platforms like Arc that naturally attract and carefully vet their MapReduce developers for hire. This way, you’ll save time and related hiring costs by only interviewing the most suitable remote MapReduce developer candidates.
Some factors to consider when you hire MapReduce 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 MapReduce developers for hire.
Writing a good MapReduce developer job description is crucial in helping you hire MapReduce 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 MapReduce 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 MapReduce programmers, read our Software Engineer Job Description Guide & Templates.
The top five technical skills MapReduce 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 MapReduce 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 MapReduce developers to keep up with evolving technology and requirements.
You can find a variety of MapReduce developers for hire on Arc! At Arc, you can hire on a freelance, full-time, part-time, or contract-to-hire basis. For freelance MapReduce programmers, Arc matches you with the right senior developer in roughly 72 hours. As for full-time remote MapReduce 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 MapReduce 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 MapReduce developers with both freelance and full-time jobs. We’ve successfully helped Silicon Valley startups and larger tech companies like Spotify and Automattic hire MapReduce developers.
Every MapReduce 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 MapReduce 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 MapReduce 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 MapReduce 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 MapReduce 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 MapReduce developers, you can rest assured that all remote MapReduce 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 MapReduce developers before we present them to you. As such, all the remote MapReduce 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 350,000 candidates. You can also expect to hire a freelance MapReduce programmer in 72 hours, or find a full-time MapReduce 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 MapReduce developers.
Depending on the freelance developer job board you use, freelance remote MapReduce developers' hourly rates can vary drastically. For instance, if you're looking on general marketplaces like Upwork and Fiverr, you can find MapReduce 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 MapReduce 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 MapReduce 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 MapReduce developers, check out our FAQs page.