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Arc helps you find and hire top freelance Hadoop Streaming engineers for your jobs. With 398 Hadoop Streaming 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 Hadoop Streaming developers and experts that you can trust.
Senior Freelance Hadoop Streaming Developer
Please, visit my Linkedin for more details: [https://www.linkedin.com/in/marcel-pallete-81166b2b/](https://www.linkedin.com/in/marcel-pallete-81166b2b/) Experienced tech consultant, currently working as Data Tech Lead at Ernst & Young Brazil, focused in: \- SQL, Python, PySpark and Scala Languages \- Data Engineering \- Data Architecture \- ETL pipelines (By code or by ETL Tools like Pentaho, Alteryx, SSIS) \- Big Data (Spark, HDFS, Hive, NiFi, Kafka) \- Tuning and performance \- Azure Cloud (Data Factory, Databricks, Synapse Analytics, SQL DB, Data Lake Gen 2, Stream Analytics) \- Terraform and IaC for Azure Cloud \- Databases (SQL Server, PostgreSQL, Teradata, IBM DB2, MySQL) \- Data Modeling (Erwin, DW, DLH, OLAP/OLTP) \- Business Intelligence and DataViz (Power BI Expert level (M, DAX, DAX Studio, Tabular Editor), Tableau, Looker/Data Studio, Looker and LookML, Qliksense and Qlikview) \- Microsoft Fabric complete solution \- Microsoft Solutions (Power Platform, Power Automate, Sharepoint, Power Apps, Dataverse, Sharepoint)
Senior Freelance Hadoop Streaming Developer
I hold a BSc in Computer Science and Information Systems with a 3.0 GPA. I have extensive experience managing development teams, client projects, and data programs, with skills in data modeling, web API development, and reporting.
Remote Hadoop Streaming Developer
Innovative Software Engineer with a strong record of enhancing productivity through the design and implementation of scalable solutions. Spearheaded a significant AWS migration at JPMorgan Chase & Co., resulting in a 40% reduction in costs and enhanced data accessibility through effective engineering and strategic leadership. Proficient in data lake formation, ETL processes, and big data processing using tools such as S3, Spark on EKS, and AWS Glue.
Freelance Hadoop Streaming Developer
Results-driven Data Analyst with expertise in data analysis, insights reporting, tool development, and project management. Skilled in working with large datasets, developing actionable insights, and communicating findings effectively to stakeholders.
Senior Freelance Hadoop Streaming Developer
Experienced backend developer and data engineer, ETL,MI Models , Kafka, PLSQL AWS, and Azure certified. Strong in relational and open-source databases. Master of Sciencein IT Management and also have product management and project management experience
Senior Freelance Hadoop Streaming Developer
11 years of professional iOS developer experience (iOS 4-16), 20+ AppStore apps, Czech Technical University graduate. Obj-C & Swift, strong in OOP patterns, Jenkins CI, Auto-Layout, Responsive Design, GIT, RESTful API's, Multithreading, In-App purchases, Push Notifications, Firebase, Parse, Backendless, Google Analytics, OneSignal, Branch.io, Fabric, Facebook SDK, Instagram, Uber, Twitter, OAuth2, Braintree Payments, Apple Pay, HealthKit, ... you name it:) When it comes to iOS development, I am your guy! Excellent English, experience in Czech, US, CA and UK startups. I'm here for you. Let's talk! You can schedule a session instantly with me here: http://calendly.com/kutakmiroslav/meeting
Senior Freelance Hadoop Streaming Developer
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.
Senior Hadoop Streaming Developer
I believe that you should fall in love with the problem, not the solution. Currently lecturing at Copenhagen Business School & Danish Institute for Studying Abroad where I hope to make an impact on the future generation of programmers. In my full-time position, I lead a Machine Learning team and I am striving to continuously learn and build upon my existing skills while sharing as much knowledge as I can. I am outspoken, not afraid to challenge the status quo, and love collaborating with others to lift projects to the next level. When I am not working you will find me cooking for friends, learning a new skill, or traveling somewhere I have not been yet.
Senior Freelance Hadoop Streaming 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 Hadoop Streaming Developer
I have over 16 years of experience in software industry, working with **iOS (12+ years)**, web development, systems analysis, UX design and team lead. In my most recent role, I'm developing the social and AR features in the Mansa Streaming (US) iOS app, enabling user interaction while watching movies and TV shows. I also developed a DRM streaming solution. Previously, I worked at Owlet Baby Care (US) to improve the scalability of their iOS app. I co-founded [Tripify](https://tripify.app/) and worked as iOS developer and UX designer. [Apple has featured it](https://apps.apple.com/story/id1434303127) as App of the Day and one of the best travel apps in the App Store. Tripify has helped more than 100,000 people from 100+ countries to have better travel experiences. Thanks to Tripify I was also part of [Apple Entrepreneur Camp](https://www.apple.com/newsroom/2022/03/apple-launches-inaugural-entrepreneur-camp-for-latin-founders/), cohort 12. For 4+ years I led a team of a 15 developers in MPGO, where I managed significant systems development.
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Get startedArc helps you build your team with our network of full-time and freelance Hadoop Streaming 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 Hadoop Streaming 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 Hadoop Streaming developers can help keep your website up-to-date.
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 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 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 developer for your company, and let Arc handle the logistics.
There are two types of platforms you can hire Hadoop Streaming 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 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 developer candidates.
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.
Writing a good Hadoop Streaming developer job description is crucial in helping you hire Hadoop Streaming 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 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 programmers, read our Software Engineer Job Description Guide & Templates.
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 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 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.
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 programmers, 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 software 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.
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 (both for depth in Hadoop Streaming 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 Hadoop Streaming 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 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.
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 350,000 candidates. You can also expect to hire a freelance Hadoop Streaming programmer in 72 hours, or find a full-time Hadoop Streaming 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 Hadoop Streaming developers.
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.
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 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.