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Remote Hadoop Streaming Developers
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Top Hadoop Streaming developers available to hire:

Hadoop Streaming developers in India - Yaseen H.
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Yaseen H.

Vetted Hadoop Streaming developer in India (UTC+6)

Senior QA Automation Lead Engineer with 8 years of proven expertise in designing and implementing scalable test automation frameworks and CI/CD pipelines for distributed containerized cloud-based environments and for Intel’s innovative Developer Toolbox for Edge-AI. Increased test automation coverage by 67% for both frontend and backend applications, reducing manual testing effort and enabling faster release cycles. Proven leadership in guiding teams to achieve 95% end-to-end test automation, streamlining and optimizing testing and DevOps processes and enhancing software quality and reliability.

Apache HadoopTest AutomationSeleniumPythonpytestQuality Assurance SpecialistKubernetesCloudJavaJenkinsAutomationJiraOpenShiftSecurity testingLoad TestingPostmanHelm ChartsDockerSQLSASDB2 SQL
+14
Cloud, Java, Jenkins, Automation, Jira, OpenShift, Security testing, Load Testing, Postman, Helm Charts, Docker, SQL, SAS, DB2 SQL
Hadoop Streaming developers in India - Chinmay M.
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Chinmay M.

Vetted Hadoop Streaming developer in India (UTC+6)

Application Developer in a wide variety of business applications. Particularly interested in server side technologies. Experienced in Java J2EE web application development including Content Management System (Alfresco), Portal Applications (Liferay and SharePoint). Experience in interfacing different business application using middleware servers (BizTalk, SSIS). Experience in Big Data Implementation using Spark, Scala, Hive, Hbase, and Pig. Experience in various domain like banking (credit card application), media & entertainment, Logistic and manufacturing. Specialties: Big Data Application implementation in Scala and spark using Horton works platform. Design and Implemented projects with data load up to 1 TB per hour with complex transformation.

Apache Hadoop • 5 yrsSQLApache KafkaPythonData EngineeringApache AirflowApache SparkMicroservicesGrafanaKubernetesDockerScalaPython 3JavaBig DataDatabase
+9
Microservices, Grafana, Kubernetes, Docker, Scala, Python 3, Java, Big Data, Database
Hadoop Streaming developers in India - aditi M.
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aditi M.

Vetted Hadoop Streaming developer in India (UTC-7)

I have worked as a Founding Engineer, AI solution consultant, Engineering Manager, and Software Developer. I led software development teams, built and optimized RAG pipelines AI chatbot and voice bot platforms. I managed a platform that collected petabytes of healthcare data from over 100 sources. I am a skilled backend developer and have built over 50 solutions, from simple MVPs to large, scalable systems.

Startup experienceLive StreamingAWSPythonSoftware architectureDatabaseAzureKubernetesJavaScriptConsultingMongoDBImage ProcessingCeleryPython 3NLPGoogle Cloud PlatformPDF Text ExtractionSemantic segmentationDocker & KubernetesFastapiVector databasesDockerMicroservicesCI/CDAsynchronous ProgrammingVoice AIDeepgramAI ChatbotAlgorithmChatbotAI
+23
JavaScript, Consulting, MongoDB, Image Processing, Celery, Python 3, NLP, Google Cloud Platform, PDF Text Extraction, Semantic segmentation, Docker & Kubernetes, Fastapi, Vector databases, Docker, Microservices, CI/CD, Asynchronous Programming, Voice AI, Deepgram, AI Chatbot, Algorithm, Chatbot, AI
Hadoop Streaming developers in India - Neha M.
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Neha M.

Vetted Hadoop Streaming developer in India (UTC+6)

I am a Senior Software Engineer with over 6 years of experience in mobile app development. I specialize in iOS (Swift, UIKit), Android (Java), and Flutter (Dart). I have worked on designing and developing mobile applications from scratch, implementing bilingual support, integrating payment gateways, and doing mobile app deployments.

Video streamingiOSDartFlutterSwiftJavaAndroidSwiftUIiTunesBilingual Payment gateway
+4
SwiftUI, iTunes, Bilingual , Payment gateway
Hadoop Streaming developers in India - Bharath .
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Bharath .

Vetted Hadoop Streaming developer in India (UTC+6)

I am a Principal Software Engineer with expertise in programming languages such as Python, Spark, Rust, and JS. I have experience in data processing tools like Databricks, Hadoop, Numpy, and Pandas. Additionally, I have skills in web development with Flask, REST API, SQLAlchemy, and GraphQL. I am proficient in various databases including Snowflake, Redshift, Postgres, and MongoDB. I have experience with cloud services like AWS and Azure, as well as CI/CD tools like GIT and Jenkins. I have made significant contributions in architecting data pipelines, developing GQL resolvers, and owning backend applications. I have also improved efficiency in data ingestion and designed and developed data pipelines.

Startup experienceApache HadoopSQLPythonAPIWeb ScrapingGitMongoDBFlaskPostgreSQLAzureNumPyAmazon EC2JenkinsAmazon S3PandasSQLAlchemyElasticsearchPaperclipRabbitMQCeleryIPythonJiraProtocol BuffersRdsDockerJavaScriptIBM DB2DynamoDBApache SparkMicrosoft SQL ServerAmazon RedshiftApache KafkaKubernetesGraphQLHugoAWS LambdaSnowflakeAirflowData LakeKafka streamsOctopusHelmRESTful APIDatabricksApache HiveAWSRustEvent Sourcing
+41
Flask, PostgreSQL, Azure, NumPy, Amazon EC2, Jenkins, Amazon S3, Pandas, SQLAlchemy, Elasticsearch, Paperclip, RabbitMQ, Celery, IPython, Jira, Protocol Buffers, Rds, Docker, JavaScript, IBM DB2, DynamoDB, Apache Spark, Microsoft SQL Server, Amazon Redshift, Apache Kafka, Kubernetes, GraphQL, Hugo, AWS Lambda, Snowflake, Airflow, Data Lake, Kafka streams, Octopus, Helm, RESTful API, Databricks, Apache Hive, AWS, Rust, Event Sourcing
Hadoop Streaming developers in India - Rahul G.
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Rahul G.

Vetted Hadoop Streaming developer in India (UTC+7)

Experienced software developer with over 11 years of expertise, specializing in iOS mobile, and macOS application, web development. Seeking challenging opportunities to utilize my skills and contribute to innovative projects.

Video streamingObjective-CSwiftXcodeiOSMVCMVVMStoryboardsmacOSClean ArchitectureSwiftUIScrumGraphQLAgileRESTful APICombineReal-TimeRxSwiftImage ProcessingUnity
+13
Storyboards, macOS, Clean Architecture, SwiftUI, Scrum, GraphQL, Agile, RESTful API, Combine, Real-Time, RxSwift, Image Processing, Unity
Hadoop Streaming developers in India - Himanshu S.
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Himanshu S.

Vetted Hadoop Streaming developer in India (UTC+6)

I am a skilled software developer with over 6 years of experience in Java, Spring, Kafka, and MySQL. Worked with top companies like Container Exchange Services, Gonnaorder, and [Freelancer.com](http://freelancer.com/), delivering impactful projects and enhancing efficiency in various domains. Achievements include creating an ANZ bank simulator for rigorous testing, developing a finance portal for efficient payment review, and designing an alerting system for proactive issue detection. Have also worked on projects like order receipt printing and a customized ordering system for clients. I have experience working with different team sizes, from being a team lead to collaborating with core teams. I have a strong track record of delivering high-quality work and has excelled in remote and contractual roles.

Startup experienceApache HadoopSpring BootJavaSQLApache KafkaMongoDBSpringPostgreSQLAlgorithmDockerIdentity ManagementMicroservicesOracle SQLPayment systemsGrafanaMicroservice architectureOracle Identity ManagerRESTful APIOracle integration cloudHTML/CSSMySQLLinuxJavaFXWeb ScrapingWeb CrawlingEncryptionWebhooks
+20
PostgreSQL, Algorithm, Docker, Identity Management, Microservices, Oracle SQL, Payment systems, Grafana, Microservice architecture, Oracle Identity Manager, RESTful API, Oracle integration cloud, HTML/CSS, MySQL, Linux, JavaFX, Web Scraping, Web Crawling, Encryption, Webhooks
Hadoop Streaming developers in India - Arun M.
Arun M.

Hadoop Streaming developer in India (UTC+6)

Senior Software Engineer with experience in building scalable microservices, data-driven platforms, and impactful product features. Currently at Agoda, optimizing inventory management and predictive pricing models. Previously at Goibibo, developed cross-selling features and automated processes, enhancing efficiency and revenue. Formerly at Adobe, contributed to Adobe Acrobat Mobile's PDF editing capabilities. Passionate about backend architecture, Golang, and system design.

Apache HadoopHadoop MapReduceGoDockerApache SparkScalaKotlinHDFSMongoDBApache KafkagRPCMicroservice architectureGrpc/protobufC++
+7
HDFS, MongoDB, Apache Kafka, gRPC, Microservice architecture, Grpc/protobuf, C++
Hadoop Streaming developers in India - Shubh A.
Shubh A.

Hadoop Streaming developer in India (UTC+6)

I am a Senior Software Engineer at Google, previously worked with Microsoft R&D and Zomato and also an open source contributor. I am one of the top performers on LinkedIn and I like learning new things. Currently I am working with Spark, Scala, Java, Design patterns, Machine learning, Python, MySQL, Memcache, Redis, Cassandra, jQuery, ReactJs but I also have skills in Java, Django, AngularJS, Javascript. Previously I have worked on algorithmic scripting, supervised learning.

Apache HadoopSQLJavaC++Data structureObject-Oriented ProgrammingAlgorithmMySQLMachine LearningJavaScriptPHPRedisPythonMemcacheApache SparkCassandraApache KafkaAWS DynamoDBGoC#ScalaDistributed Systems Engineering
+15
MySQL, Machine Learning, JavaScript, PHP, Redis, Python, Memcache, Apache Spark, Cassandra, Apache Kafka, AWS DynamoDB, Go, C#, Scala, Distributed Systems Engineering
Hadoop Streaming developers in India - Jatin P.
Jatin P.

Hadoop Streaming developer in India (UTC-5)

I have expertise in **java 8 programming, functional programming with multithreading**. i have worked in spring boot, hibernate, microservice, apache kafka. - cryptography - spring boot, hibernate - concurrent programming - Team Handling

Apache Hadoop • 1 yrsJavaSpring BootApache KafkaJava 8Apache tomcatXMLJSONJava EEMicroservicesSpring CloudAndroidFlutterScalaMongoDBHBaseSQLRedisCloudDockerVaultHibernate ORMMySQLEhcacheJUnitMockitoRESTful API
+20
JSON, Java EE, Microservices, Spring Cloud, Android, Flutter, Scala, MongoDB, HBase, SQL, Redis, Cloud, Docker, Vault, Hibernate ORM, MySQL, Ehcache, JUnit, Mockito, RESTful API

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Why clients hire Hadoop Streaming developers with Arc

Without Arc by my side, I would be wasting a lot of time looking for and vetting talent. I'm not having to start a new talent search from scratch. Instead, I’m able to leverage the talent pool that Arc has created.
Mitchum Owen
Mitchum Owen
President of Milo Digital
The process of filling our position took less than a week and they found us a superstar. They've had the flexibility to meet our specific needs every step of the way and their customer service has been top-notch since day one.
Matt Gysel
Matt Gysel
Finance & Strategy at BaseVenture
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.
Philip Tsai
Philip Tsai
Director of Engineering at Chegg

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Arc offers pre-vetted remote software developers skilled in every programming language, framework, and technology.
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FAQs

Why hire a Hadoop Streaming developer?

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 Hadoop Streaming 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 Hadoop Streaming developers can help keep your website up-to-date.

How do I hire Hadoop Streaming developers?

To hire a Hadoop Streaming 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 Hadoop Streaming developers effectively and efficiently. Hire full-time Hadoop Streaming 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 Hadoop Streaming 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 Hadoop Streaming 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 Hadoop Streaming developers for your company, and let Arc handle the logistics.

Where do I hire the best remote Hadoop Streaming developers?

There are two types of platforms you can hire Hadoop Streaming 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 Hadoop Streaming 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 Hadoop Streaming developers, consider niche platforms like Arc that naturally attract and carefully vet their Hadoop Streaming developers for hire. This way, you’ll save time and related hiring costs by only interviewing the most suitable remote Hadoop Streaming developers.

Some factors to consider when you hire Hadoop Streaming 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 Hadoop Streaming developers for hire.

How do I write a Hadoop Streaming developer job description?

Writing a good Hadoop Streaming developer job description is crucial in helping you hire Hadoop Streaming 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 Hadoop Streaming 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 Hadoop Streaming developers, read our Engineer Job Description Guide & Templates.

What skills should I look for in a Hadoop Streaming developer?

The top five technical skills Hadoop Streaming 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 Hadoop Streaming 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 Hadoop Streaming developers to keep up with evolving technology and requirements.

What kinds of Hadoop Streaming developers are available for hire through Arc?

You can find a variety of Hadoop Streaming developers for hire on Arc! At Arc, you can hire on a freelance, full-time, part-time, or contract-to-hire basis. For freelance Hadoop Streaming developers, Arc matches you with the right senior developer in roughly 72 hours. As for full-time remote Hadoop Streaming 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 Hadoop Streaming developers for hire are all mid-level and senior-level professionals. They are ready to start coding straight away, anytime, anywhere.

Why is Arc the best choice for hiring Hadoop Streaming developers?

Arc is trusted by hundreds of startups and tech companies around the world, and we’ve matched thousands of skilled Hadoop Streaming developers with both freelance and full-time jobs. We’ve successfully helped Silicon Valley startups and larger tech companies like Spotify and Automattic hire Hadoop Streaming developers.

Every Hadoop Streaming 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 Hadoop Streaming 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.

How does Arc vet a Hadoop Streaming developer's skills?

Arc has a rigorous and transparent vetting process for all types of developers. To become a vetted Hadoop Streaming 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 Hadoop Streaming 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 Hadoop Streaming developers, you can rest assured that all remote Hadoop Streaming developers have been thoroughly vetted for the high-caliber communication and technical skills you need in a successful hire.

How long does it take to find Hadoop Streaming developers on Arc?

Arc pre-screens all of our remote Hadoop Streaming developers before we present them to you. As such, all the remote Hadoop Streaming 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 Hadoop Streaming developer in 72 hours, or find a full-time Hadoop Streaming 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 Hadoop Streaming developers.

How much does a freelance Hadoop Streaming developer charge per hour?

Depending on the freelance developer job board you use, freelance remote Hadoop Streaming developers' hourly rates can vary drastically. For instance, if you're looking on general marketplaces like Upwork and Fiverr, you can find Hadoop Streaming 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 Hadoop Streaming 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.

How much does it cost to hire a full time Hadoop Streaming developer?

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 Hadoop Streaming 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 Hadoop Streaming developers, check out our FAQs page.

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