Hire Data Mining Developer

Q: What is a Data Mining Developer?

" A Data Mining Developer is a specialist in the Data Mining framework\/language, focusing on developing applications or systems that require expertise in this particular technology. "

Q: Why should I hire a Data Mining Developer through Upstaff.com?

" Hiring through Upstaff.com gives you access to a curated pool of pre-screened Data Mining Developers, ensuring you find the right talent quickly and efficiently. "

Q: How do I know if a Data Mining Developer is right for my project?

" If your project involves developing applications or systems that rely heavily on Data Mining, then hiring a Data Mining Developer would be essential. "

Q: How does the hiring process work on Upstaff.com?

" Post Your Job: Provide details about your project. Review Candidates: Access profiles of qualified Data Mining Developers. Interview: Evaluate candidates through interviews. Hire: Choose the best fit for your project. "

Q: What is the cost of hiring a Data Mining Developer?

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

Q: Can I hire Data Mining Developers on a part-time or project-based basis?

" Yes, Upstaff.com allows you to hire Data Mining Developers on both a part-time and project-based basis, depending on your needs. "

Q: What are the qualifications of Data Mining Developers on Upstaff.com?

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

Q: How do I manage a Data Mining Developer once hired?

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

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

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

Q: Can I replace a Data Mining Developer if they are not meeting expectations?

" 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. "

Upstaff is the best deep-vetting talent platform to match you with top Data Mining developers for hire. Scale your engineering team with the push of a button

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Hire Data Mining Developers and Engineers

Henry A., Data Mining Developer

- 8 years experience with various data disciplines: Data Engineer, Data Quality Engineer, Data Analyst, Data Management, ETL Engineer - Extensive hands-on expertise with Reltio MDM, including configuration, workflows, match rules, survivorship rules, troubleshooting, and integration using APIs and connectors (Databricks, Reltio Integration Hub). - 8+ years with Python for data applications, including hands-on scripting experience - Data QA, SQL, Pipelines, ETL, Automated web scraping. - Data Analytics/Engineering with Cloud Service Providers (AWS, GCP) - Extensive experience with Spark and Hadoop, Databricks - 6 years of experience working with MySQL, SQL, and PostgreSQL; - 5 years of experience with Amazon Web Services (AWS), Google Cloud Platform (GCP) including Data Analytics/Engineering services, Kubernetes (K8s) - 5 years of experience with PowerBI - 4 years of experience with Tableau and other visualization tools like Spotfire and Sisense; - 3+ years of experience with AI/ML projects, background with TensorFlow, Scikit-learn and PyTorch; - Upper-intermediate to advanced English, - Henry is comfortable and has proven track record working with North American timezones (4hour+ overlap)

Data Mining

Python 9 yr.

SQL 6 yr.

Microsoft Power BI 5 yr.

NoSQL 5 yr.

Vladyslav, Data Mining Developer

- Data Scientist with 4+ years of experience specializing in delivering insights and solutions using analytics, machine learning, and data science across diverse industries. - Profound technical expertise with Python, utilizing libraries such as pandas, numpy, TensorFlow, and Keras, and deploying solutions with tools like Docker and FastAPI. - Successfully led data science projects focusing on market analytics, computer vision, and content moderation, demonstrating a strong background in ETL pipelines, predictive modeling, and deploying RESTful services. - Holds a Master's in Computer Science, augmented with certifications from Google Cloud and DataCamp, and is proficient in implementing ML methodologies, including NLP, CV, and time series analysis. - Experienced in RDBMS such as MySQL and PostgreSQL, cloud platforms like AWS and GCP, and has practical knowledge of software development life cycles and agile methodologies. - Fluent in English and Ukrainian, embodying strong multidisciplinary team leadership, evident in the management of complex projects and innovative solution development.

Data Mining

Data Analysis 4 yr.

AWS ML (Amazon Machine learning services) 4 yr.

Neural Networks

Business Analysis

Anatolii K., Data Mining Developer

$30/hr

- 5 years of experience in the IT industry as a Python Engineer - Proficient in using technologies such as Django DRF, Flask, Pandas, BeautifulSoup, SQLAlchemy, Asyncio, Flask + Marshmallow, Apscheduler, Jinja, Quip API, Docker, Nginx, Amazon MWS API, Amazon SP-API, Google API, and Telegram API; - Strong in refactoring, bug-fixing, and working with Python, JavaScript, Django, Django Rest Framework; - Skilled in developing faceted search and matching algorithms using ElasticSearch; - Experienced in PDF generation and importing from various formats; - Developed web applications, API interfaces, and automated scripts for data transformation; - Previous experience includes working as a Python developer focused on data scraping for Amazon, eBay, and Walmart products in dropshipping projects; - Also worked as a C# developer on various projects, specializing in web development, scraping, and parsing data; - Upper-Intermediate English; - Available ASAP

Data Mining

Python

Django

Flask

Andrii K, Data Mining Developer

- Over 5 years of experience Senior Business Intelligence Analyst; - Experienced specializing in data visualization, analytics, and business process improvement; - Strong skills with Power BI and Tableau; - Experience in BI environments and creating interactive dashboards; - Strong technical R and Python; - Experience with MySQL, and PostgreSQL; - Holds certifications including Microsoft Certified: Azure Fundamentals and Power BI Data Analyst Associate.

Data Mining

Microsoft Power BI

Tableau

Python

SQL

Luis M., Data Mining Developer

- ETL Engineer with 4+ years of experience, where 3+ years are dedicated to Talend as the main ETL tool - Competent in ETL tools: Talend, Talend Manage Console (TMC), Talend Big Data, Azure Data Factory, SSIS - Proficient in ETL (Extract, Transform, Load) processes, skilled in data integration and data transfer between systems - Experience with SQL and NoSQL database management (Snowflake, SQL Server, Azure SQL Server, Oracle DB) - Cloud platform utilization: AWS (EC2, S3, RDS), Azure - Familiarity with Amazon Redshift, Google BigQuery, Hadoop - Has the "Talend Data Integration v7 Certified Developer" certification

Data Mining

HTML5

CSS

Andrii Zelinskyi, Data Mining Developer

Certified Data Engineer and Scientist with a strong foundation in computer science, holding a Master's degree and an AWS certification. Possesses over 6 years of experience in creating sophisticated ETL pipelines, conducting data analysis, and deploying machine learning models. Proficient in Python, with additional expertise in Java, Kotlin, and C/C++. Demonstrates advanced knowledge of an array of technologies including AWS services, GCP, Docker, Kubernetes, and Apache Airflow, among others. Skilled in managing cloud solutions, automating data pipelines, and integrating with various APIs. Leveraged high-level programming and analysis skills in a variety of industry projects from steel defect detection to financial forecasting.

Data Mining

Python 6 yr.

CD DevOps pipelines

Data Analysis

Business Analysis

Alexsandr R., Data Mining Developer

$35/hr, $5000/month

- 10+ years of experience in the IT industry Ruby, Python, PHP backed & JavaScript front-end skills. - 7+ years of experience with Ruby - Experienced with all stages of the frontend skills such as React, Vue, Angular, Javascript, HTML/CSS, JQuery and complex chart plugins including d3, amchart, dash, plotly, sigma.js and chart.js. - Intermediate English - Available ASAP

Data Mining

Ruby on Rails 7 yr.

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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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Within 1-3 days, we’ll share profiles and connect you with the right Data Mining talents for your project. Schedule a call to meet engineers in person.

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Welcome on Upstaff: The best site to hire Data Mining Developer

Upstaff.com was launched in 2019, addressing software service companies, startups and ISVs, increasingly varying and evolving needs for qualified software engineers

Yaroslav Kuntsevych

CEO

About Us

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FAQs on Data Mining Development

What is a Data Mining Developer?

A Data Mining Developer is a specialist in the Data Mining framework/language, focusing on developing applications or systems that require expertise in this particular technology.

Why should I hire a Data Mining Developer through Upstaff.com?

Hiring through Upstaff.com gives you access to a curated pool of pre-screened Data Mining Developers, ensuring you find the right talent quickly and efficiently.

How do I know if a Data Mining Developer is right for my project?

If your project involves developing applications or systems that rely heavily on Data Mining, then hiring a Data Mining Developer would be essential.

How does the hiring process work on Upstaff.com?

Post Your Job: Provide details about your project.
Review Candidates: Access profiles of qualified Data Mining Developers.
Interview: Evaluate candidates through interviews.
Hire: Choose the best fit for your project.

What is the cost of hiring a Data Mining Developer?

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

Can I hire Data Mining Developers on a part-time or project-based basis?

Yes, Upstaff.com allows you to hire Data Mining Developers on both a part-time and project-based basis, depending on your needs.

What are the qualifications of Data Mining Developers on Upstaff.com?

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

How do I manage a Data Mining Developer once hired?

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?

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

Can I replace a Data Mining Developer if they are not meeting expectations?

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.

Discover Our Talent Experience & Skills

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Data Analyst (DA)Data Engineer Data Extraction and ETL Business Intelligence (BI)Data Mining and Management Data Science Process Mining

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Mobile Applications

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Chief Marketing Officer (CMO)

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Web Engineering

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Writing and Translation

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Go (Golang) Ecosystem

Echo

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Python Frameworks and Libraries

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Ruby Frameworks and Libraries

Grails Sidekiq Sinatra Apartment (Ruby)

Salesforce Ecosystem

Salesforce Salesforce Apex SalesForce SOQL/SOSL SOQL Salesforce Commerce Cloud Visualforce Salesforce Service Cloud Salesforce AppExchange

Scala Frameworks and Libraries

Akka Clojure

UI Frameworks & Libraries / Page Layout

Ajax Bootstrap CSS D3.js HTML HTML5 LESS SASS Twitter Bootstrap XML jQuery XPATH XSLT Kendo UI Ant Design Socket.io Storybook Highcharts Tailwind CSS Foundation Pug XHTML Phoenix SAML jQuery UI JQuery Mobile SPFX DOM XSL Fluent UI XAML

PHP Frameworks / Libraries / Tools

Symfony Laravel CakePHP CodeIgniter Kohana Composer Twig Yii Zend Phalcon FastCGI Process Manager (FPM)October CMS

AI & Machine Learning

Keras Machine Learning NumPy OpenCV Scikit-learn TensorFlow CNN PyTorch Deep Learning AWS SageMaker (Amazon SageMaker)

Cloud Platforms, Services & Computing

AWS (Amazon Web Services)Heroku Spring Cloud Firebase Cloud Messaging DigitalOcean SAAS CloudFlare Salesforce Commerce Cloud Rackspace Alibaba Cloud Zapier Zoho Netlify PagerDuty Informatica

Azure Cloud Services

Hyper-V Azure DevOps Azure Cosmos DB Azure Databricks MS Azure Azure AD Azure Function VMs

Google Cloud Platform

Google App Engine Google Data Studio Google Services Google Kubernetes Engine (GKE)Google Docs Google BigQuery Google Cloud Storage Google Workspace

Industry Domain Experience

Marketing Blockchain Automotive Information Security Advertising

Codecs & Media Containers

Ffmpeg

Collaboration, Task & Issue Tracking

Redmine Asana Rally YouTrack Atlassian JIRA OTRS Miro Slack Notion Microsoft Teams Atlassian Trello Microsoft SharePoint

Deployment, CI/CD & Administration

DevOps Jenkins Hudson Puppet Ansible Gradle CI/CD Bamboo Helm Flux Sonarqube Chef Kubernetes Blazor Pipeline Artifactory Active Directory New Relic

Hosting, Control Panels

cPanel

Logging and Monitoring

Grafana Sentry Nagios Zabbix Prometheus Splunk Datadog SIP Monit

Mail / Network Protocols / Data transfer

HTTP SSL SMTP POP3 Postfix SPF (Sender Policy Framework)Proxy nfs FTP VPN SSH HTTPS TLS XMPP Kerberos Bluetooth DNS GPS LDAP GRPC Consul cURL STP RADIUS WIFI firewall PfSense Zimbra

Message/Queue/Task Brokers

Celery RabbitMQ Twillio Apache Kafka IBM MQ

Methodologies, Paradigms and Patterns

Agile Kanban OOP Scrum SOAP TDD and BDD SOLID Service-oriented architecture (SOA)KISS DRY ITIL SAFe Rational Unified Process (RUP)Command and Query Responsibility Segregation (CQRS)ITSM

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Project Management & Administration

Project Management MVP Problem Solving Scrum Master Amplitude Flow chart

Scripting and Command Line Interfaces

Bash Perl CLI Powershell Shell Scripts EMacs

UiPath

UIPath

Version Control

BitBucket GitHub GitLab Mercurial Git CVS Apache Subversion Nexus Crucible

Virtualization, Containers and Orchestration

Terraform Vagrant VmWare Docker VPN VMWare ESXi WebAssembly KVM (for Kernel-based Virtual Machine)Nomad

Web/App Servers, Middleware

Apache Tomcat Nginx Puma (Ruby/Rack Web Server)GlassFish Internet Information Services (IIS)Windows Server SPA Tornado LAMP JBoss PWA XAMPP (X, Apache, MariaDB, PHP, Perl)J2EE Cowboy Windows NT Apache HTTP Server squid WAMP Web Methods

Want to hire Data Mining developer? Then you should know!

Table of Contents

How and where is Data Mining used?

Customer Segmentation: Grouping customers based on purchasing behavior
Fraud Detection: Identifying fraudulent activities in financial transactions
Market Basket Analysis: Finding associations between products purchased together
Churn Prediction: Predicting customers likely to stop using a service
Sentiment Analysis: Analyzing opinions in social media comments
Recommendation Systems: Suggesting products based on user preferences
Healthcare Management: Predicting disease outbreaks and patient diagnosis
Anomaly Detection: Identifying unusual patterns in data for cybersecurity
Credit Scoring: Assessing the creditworthiness of individuals
Supply Chain Optimization: Streamlining logistics and inventory management

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

Seniority Name	Years of experience	Responsibilities and activities	Average salary (USD/year)
Junior	0-2 years	Assist in data collection Support data cleaning Conduct basic data analysis	50,000
Middle	3-5 years	Develop data models Implement data mining algorithms Participate in project planning	80,000
Senior	6-8 years	Lead data mining projects Optimize data extraction techniques Provide technical guidance	110,000
Expert/Team Lead	9+ years	Define data strategies Mentor junior developers Collaborate with stakeholders	150,000

Quick Facts about Data Mining.

Data mining software was created in 1989 by Gregory Piatetsky-Shapiro.
Common project types using this technology include customer segmentation.
The entry threshold for data mining software is basic knowledge of statistics.
One of the most popular related technologies is machine learning algorithms.
Fun Fact: The largest data set ever used for data mining contained 2.2 petabytes!

TOP Data Mining Related Technologies

RapidMiner
Weka
KNIME
Orange
SAS

What are top Data Mining instruments and tools?

RapidMiner: An open-source data science platform released in 2006
Weka: A collection of machine learning algorithms released in 1993
KNIME: A platform for data analytics, reporting, and integration released in 2006
Orange: An open-source data visualization and analysis tool released in 1996
TensorFlow: An open-source machine learning framework released in 2015

Hire Data Mining Developer

Hire Data Mining Developers and Engineers

Henry A., Data Mining Developer

Vladyslav, Data Mining Developer

Anatolii K., Data Mining Developer

Andrii K, Data Mining Developer

Luis M., Data Mining Developer

Andrii Zelinskyi, Data Mining Developer

Alexsandr R., Data Mining Developer

Book a call now to explore more talented Data Mining developers!

Only 3 Steps to Hire Data Mining Developer

Welcome on Upstaff: The best site to hire Data Mining Developer

Yaroslav Kuntsevych

Hire Data Mining Developer as Effortless as Calling a Taxi

FAQs on Data Mining Development

What is a Data Mining Developer?

Why should I hire a Data Mining Developer through Upstaff.com?

How do I know if a Data Mining Developer is right for my project?

How does the hiring process work on Upstaff.com?

What is the cost of hiring a Data Mining Developer?

Can I hire Data Mining Developers on a part-time or project-based basis?

What are the qualifications of Data Mining Developers on Upstaff.com?

How do I manage a Data Mining Developer once hired?

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

Can I replace a Data Mining Developer if they are not meeting expectations?

Discover Our Talent Experience & Skills

Want to hire Data Mining developer? Then you should know!

How and where is Data Mining used?

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

Quick Facts about Data Mining.

TOP Data Mining Related Technologies

What are top Data Mining instruments and tools?

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