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Vaja C., Full-Stack PHP/Web Developer

Tbilisi, Georgia
Last Updated: 4 Jul 2023

- Extensive experience with PHP (3+ years) and Laravel Framework; - Deep skills working with JavaScript and Vue.js Framework; - System knowledge as well as coding experience: Raft, MapReduce; - Strong knowledge of HTML, and CSS; - System Design and Popular Distributed; - Oriented around OOP and writing readable and reusable code. - Experience working as a Full-Stack Developer; - High Availability (40+ h/week if needed) - Fluent in English.

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MapReduce

MapReduce

PHP

PHP   3 yr.

Laravel

Laravel

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Andrey L., Data Engineer

Sao Paulo, Brazil
Last Updated: 4 Jul 2023

- 9+ years of experience as a development and architecture of Big Data solutions. - Advanced English - Available ASAP

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MapReduce

MapReduce

Python

Python

Apache Spark

Apache Spark

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Simon K., Python Software Engineer with data engineering skills

Hannover, Germany
Last Updated: 23 Apr 2024

- 2+ years of experience with Python as a Data Engineer and Deep/Machine Learning Intern - Experience with Data Vault modeling and AWS cloud services (S3, Lambda, and Batch) - Cloud Services: Sagemaker, Google BigQuery, Google Data Studio, MS Azure Databricks, IBM Spectrum LSF, Slurm - Data Science Frameworks: PyTorch, TensorFlow, PySpark, NumPy, SciPy, scikit-learn, Pandas, Matplotlib, NLTK, OpenCV - Proficient in SQL, Python, Linux, Git, and Bash scripting. - Had experience leading a BI development team and served as a Scrum Master. - Native English - Native German

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MapReduce

MapReduce

Python

Python

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Syed S., Salesforce Developer

Pakistan
Last Updated: 4 Jul 2023

- Software Developer with 18 years of experience - Software Development Life Cycle professional background Agile/Scrum - Programming Knowledge & experience, System Migrations/Integrations, Cross Functional Skills - intermediate English - Available ASAP - No vacation plans for next 2 months

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MapReduce

MapReduce

Salesforce

Salesforce

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Mykhailo, Data Engineer, AI/ML Architect

Netherlands
Last Updated: 26 Oct 2023

- Developer and Data Engineer with 9+ years of professional experience in the Information Technology Industry including cutting edge Semiconductor Engineering; - Solid experience in engineering and design of robust and efficient software products; - Knowledge of a wide range of programming languages, technologies and platforms (Python, MATLAB, C/C++, JavaScript); - Extensive experience with designing and academic analysis of AI/ML algorithms, data analytics, mathematical optimization, modern statistical and stochastic models, robotics; - Determining and analyzing business requirements and communicating with clients and architecting software product; - Experience of working in large distributed teams; - Strong knowledge of OOP/OOA/OOD, database modeling; - Proficient in presenting and writing reports and documentation; - Fluent English; - Upper-Intermediate German and Dutch.

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MapReduce

MapReduce

C++

C++

Python

Python

MatLab

MatLab

JavaScript

JavaScript

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Our journey starts with a 30-min discovery call to explore your project challenges, technical needs and team diversity.
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Maria Lapko
Global Partnership Manager

Only 3 Steps to Hire MapReduce Engineers

1
Talk to Our Talent Expert
Our journey starts with a 30-min discovery call to explore your project challenges, technical needs and team diversity.
2
Meet Carefully Matched Talents
Within 1-3 days, we’ll share profiles and connect you with the right talents for your project. Schedule a call to meet engineers in person.
3
Validate Your Choice
Bring new talent on board with a trial period to confirm you hire the right one. There are no termination fees or hidden costs.

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Владислав «Sheepbar» Баранов
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Наталья Кравцова
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FAQs about MapReduce Development

How do I hire a MapReduce developer? Arrow

Are you desperately looking for a MapReduce developer validated to your requirements and skills? Are you lacking in resources and tools to find the right developer? If yes, then you are at the right place! Because at Upstaff, the selection of the MapReduce Developer is done professionally as per your requirement, in a short time of just a few days, from calling to the instant task of your validated developer, with all your required skills.

Where is the best place to find MapReduce developers? Arrow

Sure enough, within the network there must be dozens, if not hundreds, of services and platforms where you can look for the MapReduce guy you need, but just Upstaff lets you sort out the best of the best real qualified developers practically in a couple of minutes, so that you will be able to select the one whose personality will be a perfect fit to your company. This is the case when you can create a genuinely “Pizza” type of service in the field of custom software development.

How are Upstaff MapReduce developers different? Arrow

Vetting by expert human reviewers is combined with historically curated feedback from clients and team-mates, which has enabled us to save, on average, more than 50 hours for each client team evaluating MapReduce candidates for every position. We live and breathe technical excellence, borne out of extensive industry expertise.

How quickly can I hire MapReduce developers through Upstaff? Arrow

Our process begins with a 30-minute discovery call: we’ll discuss your pain points, technical requirements, and team diversity. Meet Carefully Matched MapReduce Talents. Upon your meeting confirmation, we’ll send you profiles and arrange an introduction call with the right talents for your project, within 1-3 days. Schedule a call to meet MapReduce engineers in person. Make the right call. Bring a new MapReduce developer on board with a trial period: confirm that the person you hired does the job right, no termination fees and no hidden fees.

How does Upstaff vet remote MapReduce engineers? Arrow

After this introductory round, Upstaff Managers do an eval of the soft skills of the candidates before the hiring decision is approved or rejected. For the hard skills, the Upstaff Staffing Platform has a short testing session to check their MapReduce skills or engage a senior developer to do a technical interview for more senior developers. You can reuse some of the hard and soft skills of past candidates to connect them with other jobs in the future (see below). Upstaff managers also do an eval of the talent before approving them for further work, allowing us to accelerate the work and ability to scale, but also providing information to clients on the talent pipeline. Finally, we also have a matching engine within the work mining system that matches candidates and jobs in real time.

How to hire MapReduce developer? Arrow

If recruiting services and job boards are not your 1st option, you may want to consider a client-oriented service like Upstaff to find & hire MapReduce developers. Upstaff has a network of vetted and tested MapReduce developers. Here, you can hire web developers for a few simple coding tasks with MapReduce.

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Table of Contents

How and where is MapReduce used?

  • Log analysis: Analyzing log files for insights
  • Recommendation systems: Generating personalized recommendations
  • Image processing: Processing large volumes of images
  • Data warehousing: Storing and querying large datasets
  • Sentiment analysis: Analyzing sentiment in text data
  • Clickstream analysis: Analyzing user behavior on websites
  • Machine learning: Training machine learning models
  • Fraud detection: Identifying fraudulent activities
  • Genomic data analysis: Analyzing large genomic datasets
  • Social network analysis: Analyzing social connections

Compare Junior, Middle, Senior, and Expert/Team Lead MapReduce Developer roles

Seniority NameYears of experienceResponsibilities and activitiesAverage salary (USD/year)
Junior1-2 years
  • Assist in MapReduce job development
  • Debug code issues
50,000
Middle3-5 years
  • Develop MapReduce jobs
  • Optimize job performance
75,000
Senior6-8 years
  • Lead MapReduce projects
  • Architect scalable solutions
100,000
Expert/Team Lead9+ years
  • Provide technical guidance
  • Mentor team members
150,000

Quick Facts about MapReduce.

  • MapReduce technology was created in 2004.
  • Popular project types using this technology are data analysis.
  • The entry threshold for this technology is knowledge of programming.
  • The most popular related technology to MapReduce is Hadoop.
  • Fun fact: MapReduce was inspired by functional programming languages.

TOP MapReduce Related Technologies

  1. Apache Hadoop (Doug Cutting, 2006)
  2. Apache Spark (Matei Zaharia, 2014)
  3. Apache Flink (Apache Software Foundation, 2014)
  4. Apache Storm (Nathan Marz, 2011)
  5. Google Dataflow (Google, 2014)

What are top MapReduce instruments and tools?

  • Hadoop: Big elephant in the room by Apache since 2006
  • Spark: Lightning-fast data processing by Apache since 2014
  • Flink: Streaming magic by Apache since 2015
  • Hive: SQL for Hadoop by Apache since 2010

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Talk to Our Talent Expert

Our journey starts with a 30-min discovery call to explore your project challenges, technical needs and team diversity.
Manager
Maria Lapko
Global Partnership Manager