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Find & Hire Hadoop Experts in New-delhi who are professionals offering their expertise in various Freelance Hadoop Services to businesses near New-delhi and around the world. New-delhi is home to a large pool of talented and experienced Hadoop freelancers who can help businesses with professional Hadoop services in New-delhi. Freelance Hadoop services in New-delhi are quite affordable on our platform compared to hiring full-time employees.
Truelancer.com provides all types of Freelance Hadoop Experts with a range of skilled and talented freelancers in New-delhi. We offer the opportunity to save 50% of your business cost by hiring New-delhi Hadoop freelancers.
Expert Hadoop freelancers for hire in New-delhi are skilled in using the latest Hadoop tools and techniques to deliver effective results for their clients for anytype of Hadoop Experts jobs in New-delhi . With the help of Hadoop freelancers in New-delhi, businesses can get their work done quickly. Using Truelancer.com is 100% safe as the money is released to the freelancers after you are 100% satisfied with the work.
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Senior Software Developer
With 6 years of experience in MVC frameworks, I have a strong track record of building and optimizing highly scalable applications at Flipkart, a leading produc...
$ 11/hr
Data Engineer
Big Data Engineer with 7.5 years of experience in building data intensive applications, tackling challenging architectural and scalability problems. Previously...
$ 9/hr
Consultant
Hi I am a working professional at Ernst and Young in advisory division with a Masters in Information technology. I have been working at EY since September 2019...
$ 1/hr
Python Developer
I am M.C.A graduate. Work as a Python Developer + Data Analyst + Hadoop Developer. I am new at Freelancing, but my work will give my intro itself.
$ 9/hr
Big Data development professional
Strong Hands-on Expert level experience in Big data projectsusing technologies Apache Spark, HDFS, kafka, yarn , zookeeper, HBase, Phoenix, Druid. In all of my...
$ 22/hr
Work to earn
I am a practical research oriented person and go beyond theoritical boundaries to explore new, interesting and easy ways of doing a particular task.
Technical Architect
I am a technical architect employed with one of the leading banks. I have been into software development for more than 10 years and during this time, I have wor...
$ 6/hr
When hiring Hadoop professionals, prioritize candidates with strong skills in distributed computing, MapReduce programming, and HDFS management. Look for proven experience in cluster setup, data pipeline development, and integration with tools like Spark and Hive. A solid portfolio demonstrating scalable big data solutions and measurable performance improvements is essential. Proficiency in cloud-based Hadoop platforms and data security practices enhances project success. Clear project scoping and onboarding ensure alignment on deliverables and timelines, maximizing the value of your Hadoop investments.
Freelance Hadoop experts command higher rates in North America and Western Europe, typically ranging from USD 45 to 100 per hour due to strong enterprise demand and complex project requirements. Eastern Europe and Latin America offer competitive rates between USD 30 and 60, balancing cost and expertise. South Asia and Africa present more affordable options, generally USD 20 to 40 per hour, suitable for scalable big data projects. Southeast Asia and Oceania rates fall in the mid-range, reflecting growing adoption of cloud-based Hadoop solutions and regional market maturity.
Hadoop expertise opens doors across industries such as finance, healthcare, retail, and technology, where big data analytics drives decision-making. Freelancers and remote professionals can leverage demand for data pipeline development, cluster management, and real-time analytics projects. Mastery of tools like Apache Spark, Hive, and cloud services boosts employability and earning potential. With global demand rising for scalable data solutions, Hadoop specialists enjoy diverse opportunities and competitive compensation in both consulting and full-time roles.
Apache Hadoop remains the dominant platform for big data processing, supported by a rich ecosystem including Apache Spark, Hive, and HBase. Leading cloud providers like Amazon EMR, Google Cloud Dataproc, and Azure HDInsight offer managed Hadoop services, enhancing scalability and ease of deployment. Emerging open-source alternatives and specialized tools continue to challenge traditional Hadoop setups, driving innovation in cloud analytics platforms and distributed data processing frameworks.
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