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Vetted Apache Hadoop developer in the United Kingdom (UTC+1)
With over 7 **years of experience** in building and deploying machine learning models for **credit risk analysis**, **fraud detection**, and **customer segmentation**, I am skilled in **data analysis**, **feature engineering**, and **model development**. Proficient in leveraging **MLOps** to streamline the deployment process, I also bring expertise in using **Python, Go, and Rust** for developing **multithreaded and concurrent web scraping solutions**, enhancing data extraction speeds and optimizing data pipelines for real-time decision-making.
Vetted Apache Hadoop developer in France (UTC+2)
I’m a Senior Data Engineer with 4+ years of experience building scalable, high-performance data solutions using PySpark, AWS, and SQL. I’ve designed and optimized enterprise-grade data pipelines at Deloitte & AXA, improving data processing speed by 40% and reducing AWS costs by 30%. My expertise spans big data processing, cloud engineering, and automation, ensuring efficient and reliable data workflows. I specialize in batch processing, delivering cost-effective, scalable solutions that power data-driven decision-making.
Vetted Apache Hadoop developer in Canada (UTC-4)
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
Vetted Apache Hadoop developer in the United States (UTC-4)
Dynamic software architect & leader with a proven track record of impact in enterprise, startup, and deep tech teams. Skilled in building high-availability solutions and core AI tech from edge to distributed systems. An experienced and engaged software engineer having a strong customer focus, I am an expert at breaking down and solving complex software problems across the full stack and multiple domains. I thrive on collaboration with my team, and take pride in my ability to clearly communicate with stakeholders and customer, while mentoring junior engineers and continuously improving team velocity. Because of my broad/deep full-stack experience with focus on backend (including machine learning and data pipelines), combined with my superpowers of building/growing teams and converting ambiguous user stories to design and actionable/scoped units of work (and then seeing those through to completion), I am able to make a resounding impact, starting on day one, in any organization. Specialties: Core System Software Design and Development; Microservice Architectures; Monitoring and Alerting; Big Data; Performance; Numeric Analysis; Data Analysis; Team Building and Mentorship; Software Development Lifecycle; Continuous integration and improvement.
Vetted Apache Hadoop developer in Slovakia (UTC+1)
Senior Software Engineer / Lead Developer / Team Lead with proven history of working in software development, information technology and service industry. Lead and empower the team of software engineers and QA testers to develop modern cloud ready applications. Skilled in in several technologies as Java (Spring, J2EE), Hadoop, Bash, Python, working in Agile envinronment using CI CD (Jenkins, GoCD), deploy and support applications in cloud Aws Webservices. Strong engineering professional with a Master's degree in Cybernetics and Information Control Systems focused on analyze, design and implementing control algorhytms for process control from Technical University of Košice.
Vetted Apache Hadoop developer in the United States (UTC-5)
I am an experienced ML/AI/DL Engineer with a strong foundation in data analysis, machine learning, and predictive modeling, specializing in extracting insights from large, complex datasets using advanced tools like Python, Spark MLlib, and SQL. I have a passion for solving business problems through data-driven solutions, with expertise in NLP, deep learning, and model optimization. Looking ahead, my career aspirations involve further exploring AI-driven innovations and contributing to impactful projects, particularly in machine learning and AI applications, while advancing my skills in cloud technologies like AWS and Azure for scalable model deployment.
Vetted Apache Hadoop developer in France (UTC+1)
I am a Staff Data Engineer with over 14 years of experience utilizing technologies such as Python and Rust. I have led the design, development, deployment, and evolution of multiple data stacks, from ingestion to modeling, in AWS and GCP, ensuring data quality, alerting, and observability. Additionally, I have developed innovative solutions across various sectors in data science and generative AI, from proof of concept to production-grade applications. I am also an active contributor to several open-source communities.
Vetted Apache Hadoop developer in the United States (UTC-7)
Hello! I am a senior software engineer with 7+ years in the field, mostly developing as a full stack developer for web applications using languages and frameworks such as Python, JavaScript, TypeScript, Django, React, and PostgreSQL. I love to learn, and love to help! I also have a bachelors in software engineering and a masters in cyber security.
Vetted Apache Hadoop developer in the United States (UTC+9)
I am a Data Engineer Professional with experience in designing and deploying enterprise-grade solutions, integrating e-commerce components, developing AI/ML models, optimizing ETL pipelines, and collaborating with data scientists. I have experience working with LLMs and RAG, and would love to help solve your business needs.
Vetted Apache Hadoop developer in the United States (UTC-5)
I believe no technical problem is too big or too small if it makes an impact on the lives or business of others. I'm something of a bug exterminator and find a lot of enjoyment in fixing things, almost as much joy as I find in building fast MVP's for real-world problems. For the past 8 years, I've shaped and built production-scale apps on web and mobile for early-to-mid stage startups, 3 of which went through YC and were well-funded. I've worked on engineering teams at companies as big as Uber and Salesforce, and as small Spiceworks (~300), Umbel (~30), SparkCognition (~12), and TrustedFor (3), myself being the first employee. I also worked as a Product Manager for Gigster in its first year taking over 50 projects to successful completion before starting my own agency.
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Ready to hire your ideal Apache Hadoop developers?
Get startedArc offers pre-vetted remote 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 Apache Hadoop 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 an Apache Hadoop 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 Apache Hadoop developers can help keep your website up-to-date.
To hire an Apache Hadoop 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 Apache Hadoop developers effectively and efficiently. Hire full-time Apache Hadoop 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 Apache Hadoop 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 Apache Hadoop 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 Apache Hadoop developers for your company, and let Arc handle the logistics.
There are two types of platforms you can hire Apache Hadoop 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 Apache Hadoop 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 Apache Hadoop developers, consider niche platforms like Arc that naturally attract and carefully vet their Apache Hadoop developers for hire. This way, you’ll save time and related hiring costs by only interviewing the most suitable remote Apache Hadoop developers.
Some factors to consider when you hire Apache Hadoop 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 Apache Hadoop developers for hire.
Writing a good Apache Hadoop developer job description is crucial in helping you hire Apache Hadoop 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 Apache Hadoop 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 Apache Hadoop developers, read our Engineer Job Description Guide & Templates.
The top five technical skills Apache Hadoop developers should possess include proficiency in programming languages, understanding data structures and algorithms, experience with databases, familiarity with version control systems, and knowledge of 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 Apache Hadoop 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 Apache Hadoop developers to keep up with evolving technology and requirements.
You can find a variety of Apache Hadoop developers for hire on Arc! At Arc, you can hire on a freelance, full-time, part-time, or contract-to-hire basis. For freelance Apache Hadoop developers, Arc matches you with the right senior developer in roughly 72 hours. As for full-time remote Apache Hadoop 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 engineers in various different time zones and countries for you to choose from.
Lastly, our remote-ready Apache Hadoop 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 Apache Hadoop developers with both freelance and full-time jobs. We’ve successfully helped Silicon Valley startups and larger tech companies like Spotify and Automattic hire Apache Hadoop developers.
Every Apache Hadoop 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 Apache Hadoop 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 Apache Hadoop 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 Apache Hadoop 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 Apache Hadoop developers, you can rest assured that all remote Apache Hadoop 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 Apache Hadoop developers before we present them to you. As such, all the remote Apache Hadoop 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 Apache Hadoop developer in 72 hours, or find a full-time Apache Hadoop 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 Apache Hadoop developers.
Depending on the freelance developer job board you use, freelance remote Apache Hadoop developers' hourly rates can vary drastically. For instance, if you're looking on general marketplaces like Upwork and Fiverr, you can find Apache Hadoop 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 Apache Hadoop 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 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 Apache Hadoop 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 Apache Hadoop developers, check out our FAQs page.