Tell us about your request
Describe the HDFS developer you're looking for.
Interview candidates
Receive vetted candidate profiles matching your engineering needs.
Hire HDFS developers
When ready, select a developer to hire.
Arc helps you find and hire top freelance HDFS 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 HDFS developers and experts that you can trust.
Freelance HDFS developer in Poland
**To Whom It May Concern :** I have over 30 years of programming experience in all phases of life-cycle project development. My major strengths include data processing analysis, design of complex systems, and implementing flexible informational and data processing systems satisfying complex business requirements. My experience has focused on high-quality coding of business and scientific applications for Windows and Unix/Linux environments. Strong background in mathematics/financial math. I have strong communication skills, both written and verbal, excellent analytical skills, and the capability to learn new business and technical environments quickly. My technical expertise allows me to make quality technical decisions and translate them into workable solutions using the latest technology. In addition to my technical strengths, I am an extremely warm and outgoing person who thrives in a team-oriented environment. _**Sincerely,**_ _**Slava Kovalenko**_
Freelance HDFS developer in India
Leveraging my 5+ years of experience building large-scale systems at PhonePe, Google, and Flipkart, I'm passionate about helping you conquer your coding challenges and interviews (through system design, DSA, and more). [LinkedIn](https://www.linkedin.com/in/arnabbir)
Freelance HDFS developer in Canada
Highly competent and strategic data professional with 7 years of experience in building highly optimized real-time and batch processing data applications in Capital Markets domain. Extensive experience in analyzing the financial data and present valuable insights to the business. Experience in fine-tuning Big Data queries to increase the performance and reduce the query execution. Experience in using various Machine Learning algorithms to build POCs which help the business users in finding the outliers and false positives in trades. Extensive experience in performing Ad-Hoc analysis and provide the reports to Audits. Mentor new joiners and provide technical assistance to other team members. Experience collaborating with cross-functional, geographically distributed teams. Strong problem-solving and critical thinking skills.
Freelance HDFS developer in India
• 13 years of experience in data warehousing, Business Intelligence Process Management (BIPM) and Data Governance with exposure in Health Care, Retail, Insurance and Banking domain. • Extensively worked on Collibra DGC platform with Rest API, define Workflow, Mulesoft integration using Collibra connect • Talend Big Data Platform Developer worked on Spark and MapReduce jobs. • DI PowerCenter Developer 9 Specialist with an overall score of 80 percent certified by Informatica Corporation. • Completed 1Z0-007 Introduction to Oracle 9i: SQL certification. • Currently spearheading as Senior Consultant with Exusia Inc. Well versed in Project Management Life Cycle involving analysis, design, development, strategy planning, risk analysis, configuration management, support, documentation, implementation and maintenance. • Proficient in all phases of Software Development Life Cycle with concentration on Requirements Analysis & Development, Design Analysis, Development Planning, Tools and Technologies selection, Estimation, Code/Design Reviews, SQA, Unit Testing, User Interface Design and Delivery. • Excellent communication and interpersonal skills with abilities in resolving complex business solutions
Freelance HDFS developer
Senior Software Developer with 9+ years of experience developing web and windows applications using **Java**, **Python, C#**, **AWS** and Services (SOAP & REST) with a focus on process improvement and automation. Knowledge in project management and Certified in **Scrum** Foundation (SFPC®), **Kanban** Foundation (KIKF®). I also have strong experience in data engineering and business intelligence using tools like **Tableau**, **PowerBI**, **MongoDB**, **Hadoop**, **Spark**, and **Pentaho Data Integration**. I am a very optimistic person who likes challenges, who loves what I do, giving the best of me, and above all, I like to be constantly learning. Recently I am learning Data Science and IA.
Freelance HDFS developer in Peru
Solid knowledge on Apache Spark with Python, Azure Cloud including Azure Databricks, Azure DataFactory, Relational SQL, Hadoop – HDFS architecture Experience on development and performance tuning up to 1000% of Big Data Azure Databricks PySpark Pipelines, on an Azure Databricks LakeHouse environment and on an On-premise Cloudera Environment (DataLake) via Batch Strong Experience leading several Big Data Migration Projects on the Financial and Bank sector Understanding of Machine Learning and Deep Learning models development principles with Scikit-Learn and Keras Discipline and Positive attitude, ethical with group working and results driven with Clean Code quality
Freelance HDFS developer in Brazil
• Skilled in Data Engineering and Cloud technologies: mySQL, SQLServer, pySpark, HDFS, Terraform, AWS, and Azure Cloud. • Extensive experience in developing automation and proprietary applications using Python, R, SQL, and REST APIs. • Proficient in Data Science and Machine Learning: Pandas, matplotlib, Numpy, scikit-learn, TensorFlow, PyTorch. • Expertise in ETL and Data Pipelines: Apache Airflow and Talend. • Web Applications and Dashboards: Shiny R, Plotly, Flask, Dash, Power BI, and Tableau. • Strong experience in managing operational activities in Asset Management: Back and Middle Office, Risk, Compliance, and Technology. • Financial Risk Management and system development for various metrics calculation: VaR, Stress, and Expected Shortfall. • Pricing, modeling, and operations of local and offshore financial assets: stocks, options, futures contracts, NDF, Forwards, and Swaps. • Advanced Bloomberg System: EMSX, PORT, and BLPAPI.
Freelance HDFS developer in Nigeria
Skilled Big Data Engineer with 5 years of outstanding performance record in designing and implementing efficient ETL processes. Proficient in Python, SQL, Py Spark, Hadoop, and cloud-based data platforms: Azure, AWS, GCP. Master in collaborating with cross-functional teams to deliver high-quality solutions saving project costs by around 20%.
HDFS developer in India
Results-driven IT professional with 5 years of experience in Application Development and Big Data Hadoop. Proficient in Hive, Sqoop, Spark, and Scala with a solid understanding of Airflow and Talend. Skilled Azure Data Engineer specializing in Azure Data Factory and Azure Databricks. Strong analytical skills with excellent communication and teamwork abilities. Adept at learning new technologies and concepts with enthusiasm and dedication. Experience in ELK and various development IDEs.
Freelance HDFS developer in the United States
I have extensive experience in building and optimizing large-scale data platforms, designing and implementing big data systems, and contributing to open-source data frameworks. I have also led teams and worked on various projects in companies such as TikTok, Walmart, Cloudera, Intuit, Oracle, CA Technology, and IBM. My skills include programming languages, distributed computing engines, distributed databases and storage, streaming processes, OLAP database engines, SQL parsers and optimizers, containers, machine learning frameworks, relational databases, web servers, application software, cloud platforms, build systems, and operating systems.
Meet HDFS freelancers with verified technical and communication skills who are ready to interview.
Access “hidden gem” freelance HDFS developers outside your local area.
Hire a HDFS contract developer in 72 hours
Describe the HDFS developer you're looking for.
Receive vetted candidate profiles matching your engineering needs.
When ready, select a developer to hire.
Ready to hire your ideal freelance HDFS?
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 HDFS 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 HDFS developers can help keep your website up-to-date.
To hire a HDFS 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 HDFS developers effectively and efficiently. Hire full-time HDFS 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 HDFS 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 HDFS 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 HDFS developer for your company, and let Arc handle the logistics.
There are two types of platforms you can hire HDFS 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 HDFS 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 HDFS developers, consider niche platforms like Arc that naturally attract and carefully vet their HDFS developers for hire. This way, you’ll save time and related hiring costs by only interviewing the most suitable remote HDFS developer candidates.
Some factors to consider when you hire HDFS 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 HDFS developers for hire.
Writing a good HDFS developer job description is crucial in helping you hire HDFS 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 HDFS 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 HDFS programmers, read our Software Engineer Job Description Guide & Templates.
The top five technical skills HDFS 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 HDFS 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 HDFS developers to keep up with evolving technology and requirements.
You can find a variety of HDFS developers for hire on Arc! At Arc, you can hire on a freelance, full-time, part-time, or contract-to-hire basis. For freelance HDFS programmers, Arc matches you with the right senior developer in roughly 72 hours. As for full-time remote HDFS 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 HDFS 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 HDFS developers with both freelance and full-time jobs. We’ve successfully helped Silicon Valley startups and larger tech companies like Spotify and Automattic hire HDFS developers.
Every HDFS 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 HDFS 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 HDFS 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 HDFS 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 HDFS 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 HDFS developers, you can rest assured that all remote HDFS 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 HDFS developers before we present them to you. As such, all the remote HDFS 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 HDFS programmer in 72 hours, or find a full-time HDFS 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 HDFS developers.
Depending on the freelance developer job board you use, freelance remote HDFS developers' hourly rates can vary drastically. For instance, if you're looking on general marketplaces like Upwork and Fiverr, you can find HDFS 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 HDFS 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 HDFS 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 HDFS developers, check out our FAQs page.