Hire Hadoop Distributed File System (HDFS) Developer

Hadoop Distributed File System (HDFS)
Manage and process massive datasets with high throughput and fault tolerance using Upstaff’s skilled HDFS specialists.
Implement scalable and cost-effective distributed storage solutions, essential for big data analytics, large-scale data warehousing, and machine learning initiatives.
Ensure robust data management for your most demanding big data projects with Upstaff’s expertise in HDFS.
Hadoop Distributed File System (HDFS)

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Azure 5yr.
Python 4yr.
SQL 5yr.
Cloudera 2yr.
Apache Spark
JSON
PySpark
XML
Apache Airflow
AWS Athena
Databricks
Data modeling Kimbal
Microsoft Azure Synapse Analytics
Power BI
Tableau
AWS ElasticSearch
AWS Redshift
dbt
HDFS
Microsoft Azure SQL Server
NoSQL
Oracle Database
Snowflake
Spark SQL
SSAS
SSIS
SSRS
AWS
GCP
AWS EMR
AWS Glue
AWS Glue Studio
AWS S3
Azure HDInsight
Azure Key Vault
API
Grafana
Inmon
REST
Kafka
databases
...

- 12+ years experience working in the IT industry; - 12+ years experience in Data Engineering with Oracle Databases, Data Warehouse, Big Data, and Batch/Real time streaming systems; - Good skills working with Microsoft Azure, AWS, and GCP; - Deep abilities working with Big Data/Cloudera/Hadoop, Ecosystem/Data Warehouse, ETL, CI/CD; - Good experience working with Power BI, and Tableau; - 4+ years experience working with Python; - Strong skills with SQL, NoSQL, Spark SQL; - Good abilities working with Snowflake and DBT; - Strong abilities with Apache Kafka, Apache Spark/PySpark, and Apache Airflow; - Upper-Intermediate English.

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Seniority Senior (5-10 years)
Location Norway
Scala
Java
AWS
Akka
Apache Spark
Lagom
Monix
Play Framework
Scala Slick
Spring
Scala Cats
Scala Pureconfig
Scala SBT
Scala Tapir
Apache Hive
Flyway
HDFS
MongoDB
PostgreSQL
Slick database query
Atlassian Trello
Jira
GitHub
GitLab
...
Seniority Middle (3-5 years)
Location Ternopil, Ukraine
Salesforce
C#
C++
JavaScript
PHP
Python
Ajax
CSS
HTML5
jQuery
XML
Apache Spark
CodeIgniter
Laravel
Yii
DataTables
ES6
Yarn
React
PhpStorm
Salesforce Apex
SOQL
Visualforce
Apache Hive
Apache Pig
Apache ZooKeeper
Flume
Jupyter Notebook
MapReduce
Oozie
Sqoop
HDFS
Microsoft SQL Server
MongoDB
MySQL
NaviCat
Agile
Scrum
SOAP
Anaconda
Microsoft Visual Studio Code
Visual Studio
WebStorm
Facebook API
Google API
PayPal API
RESTful API
Slim CD API
Twilio API
Twitter API
Kafka
LAMP
VMware Workstation
...

- 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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Seniority Senior (5-10 years)
Location Pakistan
Java 10yr.
Kafka 4yr.
Microservies 4yr.
Kubernetes 3yr.
Scala
Angular
Apache Flink
Apache Spark
Dropwizard
Hibernate
Spring
CXF
Guice
Jersey
JMS
JSF
XML
XSLT
Apache Hive
Apache Pig
Apache Spark Streaming
Flume
Oozie
Apache Hadoop
AVRO
HDFS
Microsoft SQL Server
Oracle Database
AWS
AWS SQS
Apache Maven
Cucumber
Selenium Webdriver
Spock
CI/CD
GitLab CI
Jenkins
Docker
Grafana
JBoss
Kafka Streams
Red Hat OpenShift Container Platform
AVA
Reduce
...

- Java Team Lead and Architect with 10+ years of a demonstrated history of working in various industries, including finance, entertainment, and retail. - Proficient in Java, Scala, AWS, Jenkins, Docker, Maven, and other technologies for building high-load applications and services. - Extensive experience with Kafka Streaming applications for data transformation and aggregation. - Successfully designed and managed high-load applications utilizing Kafka for data processing and prediction. - Strong background in AWS, utilizing services like AWS Lambda, Docker, and Kubernetes to build scalable and efficient systems. - Strong experience designing and implementing technical solutions, setting up Agile teams, and mentoring developers. - Proven ability to handle multiple projects through the entire lifecycle, ensuring timely and within-budget delivery. - Experienced in conducting requirement analysis, identifying risks, and conducting mitigation action planning - Upper-Intermediate English

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Seniority Architect/Team-lead
Location Wroclaw, Poland
Swift 3yr.
Python 3yr.
XCode 3yr.
Data visualization
HDFS
AWS RDS (Amazon Relational Database Service)
3D Modelling
Project Management
Risk Assessment Framework
...

- Full-stack iOS Developer with over three years of experience, specialized in Swift, Python, and Xcode, with a successful track record of designing, developing, and launching high-quality iOS applications. - Demonstrated expertise in the complete app development lifecycle, skilled in UI/UX design, front-end coding, back-end integration, and database management. - Extensive 11-year background as a Data Analyst, proficient in data visualization, econometric modeling, and using tools like Stata, EViews, and Python to deliver data-driven solutions. - Strong foundation in various statistical techniques and models, including ARDL, Spatial Autocorrelation, Probit and Multinomial Logit regressions, and VECMX model. - Proven experience in project management, including conducting feasibility studies for PPP projects, and an adept understanding of risk assessment and stakeholder collaboration in the economic sector. - A well-rounded educational background with a Master of Arts in Economics and a Bachelor of Arts in Economic Informatics, graduating with honors.

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Seniority Expert (10+ years)
Project Management
Data Analysis
GCE
Python
VBA
Data Mining
Data Scraping
Data Warehousing
HDFS
NoSQL
relational databases
Snowflake
SQL
AWS
Azure
GCP
Kubernetes
Kafka
Research Skills
ERP
IOT
...

With a Ph.D. in Computer Science and a comprehensive background in Electrical and Electronics Engineering, this candidate has over two decades of adeptness in AI, cloud computing, and big data analytics. The engineer is skilled in strategic project management, with a strong focus on the application of machine learning pipelines and cloud infrastructure development. Technical proficiencies include expertise in NLP, data analysis, IoT, and using advanced cloud platforms like AWS, Google Cloud, and Microsoft Azure. The candidate's teaching experience and substantial contributions to industry publications underscore a balanced blend of practical and theoretical knowledge. The engineer's prior roles demonstrate significant leadership in shaping AI strategies and guiding data-driven innovations.

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Seniority Expert (10+ years)
Location Barcelona, Spain
Python
TensorFlow
Snowflake
AWS Redshift
Amazon Machine learning services
AutoGPT
AWS ML (Amazon Machine learning services)
Hugging Face
Kubeflow
LangChain
Prompt Engineering
PyTorch
RAG
T5
Java
Immutable.js
Matplotlib
NLTK
Plotly
Seaborn
Struts 2
Apache Hive
Data visualization
DVC
Kibana
Looker Studio
Power BI
Tableau
AWS ElasticSearch
Clickhouse
ELK stack (Elasticsearch, Logstash, Kibana)
HDFS
Azure DevOps
Google BigQuery
Github Actions
Logstash
Prometheus
MPEG-DASH
Flink
JAX RS
Legacy Application
TFX
...

- Experienced Machine Learning Engineer with Data Engineering skills - Experience in ensemble recommendation systems, customer behavior prediction, and recruitment insights, analytics, chatbots. - Experience in user retention, engagement, operational efficiency increase, enhancing stock turnover, forecasting accuracy, automated damage assessment models, and vehicle security through advanced ML models and BigData. - Worked with industries: insurance, finance, restaurants - Solid expertise with Big Data, Natural Language Processing, Computer Vision

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Seniority Senior (5-10 years)
Location Warsaw, Poland
Python
Data Science
NLP
AWS
AWS Lex
AWS ML (Amazon Machine learning services)
AWS SageMaker (Amazon SageMaker)
Azure OpenAI
BERT
ChatGPT
CLIP
FastAi
Gen AI
GPT
Keras
LangChain
LLaMA
LlamaIndex
NumPy
OpenAI
RAG
Scikit-learn
T5
TensorFlow
Vertex AI
VITS
Whisper
C#
Fortran
JavaScript
R
VBA
Beautiful Soup
Gensim
Matplotlib
NetworkX
NLTK
Pandas
PySpark
SciPy
Tkinter
CSS
HTML
Django
Django REST framework
FastAPI
Apache Airflow
Jupyter Notebook
Tableau
HDFS
HeidiSQL
Microsoft SQL Server
MongoDB
MySQL
MySQL Workbench
PostgreSQL
SQL
Azure
GCP
AWS EC2
AWS EMR
AWS Lambda
AWS S3
Cloud Functions
GCP Compute Instance
Google BigQuery
Apache Solr
App Clips
Atlassian Trello
Jira
Redmine
Docker
Kubernetes
Eclipse
MatLab
PyCharm
Sublime Text
Visual Studio
Google API
GraphQL
MOZ API
Git
TortoiseSVN
Kanban
Scrum
Linux
macOS
Windows
PGM
Selenium
BITS
Heap Analytics
MS CRM
Octave
Rest Framework
STT
TTS
...

- Data Scientist with a focus on Natural Language Processing and 16 years of experience in the IT industry; - Experienced in designing cloud-based architectures using BigQuery, Vertex AI, Cloud Functions, Datastore, and Cloud Storage; - Applies machine learning and deep learning techniques to solve problems in NLP, computer vision, and time series analysis; - Solid foundation in unsupervised learning methods, including clustering, anomaly detection, and recommender systems; - Skilled in full-cycle solution design, from requirements gathering to development and deployment; - Specialized in Generative AI, building advanced algorithms and models to address complex tasks using generative techniques; - Experience in ML model development for prediction, classification, and optimization use cases; - Proficient in Agentic AI, creating autonomous systems powered by LLMs for decision-making and workflow automation; - Experienced in text-to-speech technologies and implementation; - Experience with cloud platforms, including AWS (S3, EC2, Lex, Lambda, EMR), Azure OpenAI, and Google Cloud; - Developed applications across macOS, Linux, and Windows environments; - Creative and results-driven, with strong analytical, communication, and presentation skills.

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Seniority Senior (5-10 years)

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Table of Contents

How and where is Hadoop Distributed File System (HDFS) used?

  • Big Data Processing: Analyzing enormous datasets
  • Distributed Storage: Storing data across nodes
  • Data Lakes: Storing structured and unstructured data
  • Log Processing: Analyzing logs in real-time
  • Backup and Recovery: Ensuring data safety
  • Content Delivery: Distributing content efficiently
  • Data Mining: Discovering patterns in large datasets
  • IoT Data Storage: Handling Internet of Things data
  • Machine Learning: Training models on large datasets
  • Genomics Research: Analyzing genetic data

Compare Junior, Middle, Senior, and Expert/Team Lead Hadoop Distributed File System (HDFS) Developer roles

Seniority NameYears of experienceResponsibilities and activitiesAverage salary (USD/year)
Junior1-3 yearsTasks:

  • Assist in HDFS data processing
  • Basic troubleshooting
  • Implement data backups
$50,000
Middle3-5 yearsTasks:

  • Develop data pipelines
  • Optimize data storage
  • Collaborate with teams
$80,000
Senior5-8 yearsTasks:

  • Lead data architecture projects
  • Provide technical guidance
  • Quality assurance
$110,000
Expert/Team Lead8+ yearsTasks:

  • Define data strategies
  • Mentor team members
  • Drive innovation
$150,000

Quick Facts about Hadoop Distributed File System (HDFS).

  • Created in 2006, HDFS revolutionized big data storage.
  • Projects like data lakes heavily rely on HDFS technology.
  • No need to break the bank – HDFS is open source and free!
  • Spark is a popular technology often used alongside HDFS.
  • Did you know? HDFS can store petabytes of data seamlessly!

TOP Hadoop Distributed File System (HDFS) Related Technologies

    1. Apache Hadoop

(Apache Software Foundation, 2006)

    1. Cloudera

(Cloudera, 2008)

    1. Hortonworks Data Platform

(Hortonworks, 2011)

    1. MapR

(MapR Technologies, 2009)

    1. Amazon EMR

(Amazon Web Services, 2009)

What are top Hadoop Distributed File System (HDFS) instruments and tools?

  • Hadoop Distributed File System (HDFS): Apache Hadoop
  • Ambari: Hortonworks
  • Oozie: Apache Software Foundation
  • ZooKeeper: Apache Software Foundation

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FAQs on Hadoop Distributed File System (HDFS) Development

What is a Hadoop Distributed File System (HDFS) Developer? Arrow

A Hadoop Distributed File System (HDFS) Developer is a specialist in the Hadoop Distributed File System (HDFS) framework/language, focusing on developing applications or systems that require expertise in this particular technology.

Why should I hire a Hadoop Distributed File System (HDFS) Developer through Upstaff.com? Arrow

Hiring through Upstaff.com gives you access to a curated pool of pre-screened Hadoop Distributed File System (HDFS) Developers, ensuring you find the right talent quickly and efficiently.

How do I know if a Hadoop Distributed File System (HDFS) Developer is right for my project? Arrow

If your project involves developing applications or systems that rely heavily on Hadoop Distributed File System (HDFS), then hiring a Hadoop Distributed File System (HDFS) Developer would be essential.

How does the hiring process work on Upstaff.com? Arrow

Post Your Job: Provide details about your project.
Review Candidates: Access profiles of qualified Hadoop Distributed File System (HDFS) Developers.
Interview: Evaluate candidates through interviews.
Hire: Choose the best fit for your project.

What is the cost of hiring a Hadoop Distributed File System (HDFS) Developer? Arrow

The cost depends on factors like experience and project scope, but Upstaff.com offers competitive rates and flexible pricing options.

Can I hire Hadoop Distributed File System (HDFS) Developers on a part-time or project-based basis? Arrow

Yes, Upstaff.com allows you to hire Hadoop Distributed File System (HDFS) Developers on both a part-time and project-based basis, depending on your needs.

What are the qualifications of Hadoop Distributed File System (HDFS) Developers on Upstaff.com? Arrow

All developers undergo a strict vetting process to ensure they meet our high standards of expertise and professionalism.

How do I manage a Hadoop Distributed File System (HDFS) Developer once hired? Arrow

Upstaff.com offers tools and resources to help you manage your developer effectively, including communication platforms and project tracking tools.

What support does Upstaff.com offer during the hiring process? Arrow

Upstaff.com provides ongoing support, including help with onboarding, and expert advice to ensure you make the right hire.

Can I replace a Hadoop Distributed File System (HDFS) Developer if they are not meeting expectations? Arrow

Yes, Upstaff.com allows you to replace a developer if they are not meeting your expectations, ensuring you get the right fit for your project.