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View Marcio

Marcio A., Data Engineering Developer

Last Job: 4 Jul 2023

- 20+ years of experience in IT - Experience in Support Analyst, Systems Analysis, Software Development, Data Engineer, Database Engineer, Systems Integration, Integration Developer, Data Analysis, Data Structures, Data Integration, Database Migration, Database Modeler, Database Analyst/Developer, Database Design, Database Management, Data Warehouse, Data Discovery, ELT/ETL, Extract, Transform, Load, Data Pipelines, Data Replication, Business Intelligence, Data Modeling (Dimension and Relational), Performance Tuning (SQL, PL/SQL Applications), experience in working with large databases and datasets, testing, validation, implementation, and troubleshooting skills, performance and resource optimization improvements, maintaining development, test and production environments, experience with process automation (monitoring, alerting, auto-corrective) and distributed systems, strong knowledge in PL/SQL, SQL, Oracle Database and - Knowledge in Agile methodology (Scrum, Kanban). - Upper-Intermediate English - Available ASAP - No vacation plans

Data Engineering

Apache Kafka 1 yr.

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View Radhey

Radhey P., Data Engineering Developer

Last Job: 4 Jul 2023

- Strong background in Python and relevant data libraries like NumPy, Pandas, etc with excellent analytical, programming, and problem-solving skills. - Experience of working with Snowflake with certification. - Proficiency in SQL Development like Transact-SQL, Data Creation, Data Definition, Stored Procedures, Views, Jobs, Triggers, etc. - Proficiency in Data Modelling, Model Interpretation, and Data Testing. - Expert in BI Development using Tableau, SAP Crystal Reports & Power BI - Worked intensively on Azure Cloud with certification. - Knowledge of working with NoSQL Databases like MongoDB, Amazon DynamoDB, - Experienced Shopify Developer, - Expert in Django based web development. - Experience in CI/CD methodologies using Github Actions & Buddy, - Proficient in Windows Server Administration, Windows Active Directory, G-Suite Administration, Microsoft Exchange / Office 365 Administration. - Upper-intermediate English. - Available ASAP.

Data Engineering

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View Henry

Henry A., Data Engineering Developer

$30/hr

Last Job: 2 Aug 2024

Identity Verified

Language Verified

Programming Skills Verified

CV Verified

- 9+ years experience working with Python; - 3+ years of experience with AI/ML projects; - 5 years of experience with PowerBI and 4 years of experience with Tableau and other visualization tools like Spotfire; - Good skills with Vaex, and Dask; - Was a part of a financial debt management project; - 6 years of experience working with MySQL, SQL, and PostgreSQL; - 8 years of experience with various data sets (ETL, Data Engineer, Data Quality Engineer); - 3 years of experience with Amazon Web Services (AWS), Google Cloud Platform (GCP); - Proven commercial experience in HR and related Talent projects; - Extensive experience with Spark and Hadoop; - Background with TensorFlow, Scikit-learn and PyTorch; - Data Analytics/Engineering with Cloud Service Providers (AWS, GCP); - Deep abilities working with Kubernetes (K8s); - Hands-on scripting experience with Python; Microsoft Power BI, Tableau, Sisense, CI/CD principles, Data Validation, Data QA, SQL, Pipelines, ETL, and Automated web scraping; - Pet web3 projects (solidity, wallet integration); - Upper-intermediate English.

Data Engineering 6 yr.

Python 9 yr.

Data Analysis 6 yr.

SQL 6 yr.

Microsoft Power BI 5 yr.

NoSQL 5 yr.

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

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

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About Us

Hire Dedicated Data Engineering Developer Trusted by People

Roman Masniuk August 25, 2023

I worked with Upstaff engineers for over 2 years, and my experience with them was great. We deployed several individual contributors to clients' implementations and put up two teams of upstaff engineers. Managers' understanding of tech and engineering is head and shoulders above other agencies. They have a solid selection of engineers, each time presented strong candidates. They were able to address our needs and resolve things very fast. Managers and devs were responsive and proactive. Great experience!

Vitalii Stalynskyi August 29, 2023

I have been working with Upstaff for over a year on a project related to landscape design and management of contractors in land design projects. During the project, we have done a lot of work on migrating the project to a multitenant architecture and are currently working on new features from the backlog.When we started this project, the hiring processes were organized well. Everything went smoothly, and we were able to start working quickly. Payments always come on time, and there is always support from managers. All issues are resolved quickly.Overall, I am very happy with my experience working with Upstaff, and I recommend them to anyone looking for a new project. They are a reliable company that provides great projects and conditions. I highly recommend them to anyone looking for a partner for their next project.

Volodymyr August 11, 2023

Leaving a review to express how delighted I am to have found such a great side gig here. The project is intriguing, and I'm really enjoying the team dynamics. I'm also quite satisfied with the compensation aspect. It's crucial to feel valued for the work you put in.Overall, I'm grateful for the opportunity to contribute to this project and share my expertise. I'm thrilled to give a shoutout and recommendation to anyone seeking an engaging and rewarding work opportunity.

Henry Akwerigbe August 30, 2023

This is a super team to work with. Through Upstaff, I have had multiple projects to work on. Work culture has been awesome, teammates have been super nice and collaborative, with a very professional management.There's always a project for you if you're into tech such Front-end, Back-end, Mobile Development, Fullstack, Data Analytics, QA, Machine Learning / AI, Web3, Gaming and lots more.It gets even better because many projects even allow full remote from anywhere!Nice job to the Upstaff Team 🙌🏽.

Maryna Navo September 25, 2023

Крутий сервіс, зручна комунікація. Допомогли з закриттям мого питання на 200%

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FAQs on Data Engineering Development

What is a Data Engineering Developer?

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

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

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

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

If your project involves developing applications or systems that rely heavily on Data Engineering, then hiring a Data Engineering 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 Engineering Developers.
Interview: Evaluate candidates through interviews.
Hire: Choose the best fit for your project.

What is the cost of hiring a Data Engineering 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 Engineering Developers on a part-time or project-based basis?

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

What are the qualifications of Data Engineering 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 Engineering 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 Engineering 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.

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Digital Platforms

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Desktop Software

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Low-Code

Microsoft PowerApps Salesforce Lightning

Marketing

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Quality Engineering and Testing

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Web Engineering

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Writing and Translation

Language Tutor

Go (Golang) Ecosystem

Gin Echo GORM Gorilla Mux

JavaScript Frameworks and Libraries

React Angular Vue.js Node.js ES6 Grunt Gulp.js Next.js NgRx Nuxt React Native Redux Vuex Webpack AngularJS Yarn RequireJS Babel Enzyme React Testing Library Ember.js Mongoose KnockoutJS Mobx Lodash React Bootstrap Formik Canvas Express Hammer.JS Redux-persist React Query Vuetify Styled components Moment.js Redux Form Reselect Hapi.js React Navigation GatsbyJS Pm2 Meteor.js JSX Flutter-Redux Webpack i18next Backbone.js Passport.js React-Router three.js Redux Thunk Moleculer microservices framework Canva Quasar Winston Handlebars.js Mustache Koa.js Strapi Fastify NPM + Yarn Electron Puppeteer AdonisJS Redux-toolkit SvelteJS ethers.js NestJS Nightwatch.js Angular JWT Immutable.js React-Saga EJS Angular CLI Redux-Saga React Hooks yup Node Package Manager (NPM)React Context SinonJS Sencha React Thunk Vanilla JS Vue Router Expo Vite LoopBack NativeJS SailsJS Preact Web3.js Polkadot.js Bookshelf.js FabricJS mui Pinia

Rust Frameworks and Libraries

Percy juniper Actix Web Actix Sentry Axum

Scala Frameworks and Libraries

Play Framework Akka Akka Streams Clojure Scalatest Akka Actors Alpakka Leiningen Scala Cats Scala SBT

Databases & Management Systems / ORM

Apache Cassandra AWS ElasticSearch Eloquent ORM Firebase Apache Hadoop Hibernate MongoDB MySQL NoSQL Oracle Database PostgreSQL Redis RethinkDB SQL SQLAlchemy SQLite Snowflake Percona MariaDB Memcached MS Access Microsoft SQL Server PL/SQL SQL (DataGrip)DBMS: MySQL AWS Redshift Greenplum Teradata Apache Spark Streaming RDBMS Azure Cosmos DB Hadoop ecosystem Apache Hive Apache Spark T-SQL FireBird ORM Liquibase CouchDB DBeaver Sphinx AWS DynamoDB Flyway Apache Spark ML Hadoop Distributed File System (HDFS)Firebase messaging BigChainDB FireStore Sequelize dbt Realm SQL Server Management Studio TSQL Typeorm MemSQL Google Firebase Neo4j GreenDao Oracle 10g PGAdmin MongoDB Compass CosmosDB OrmLite Transact-SQL PostGIS InfluxDB pgSQL Couchbase Firebase Realtime Database CockroachDB Materialize IBM DB2 MS Access Dbase Foxpro Prisma GORM SSMS MySQL Workbench Redis Cache SSRS Google BigQuery Django ORM Relational Databases Pg Admin ELK stack (Elasticsearch, Logstash, Kibana)Toad PGBouncer NaviCat HSQLDB Apache Druid Aura MS SQL Server Management Studio Clickhouse SqlServer Microsoft Azure SQL Server SQL queries Airtable Netezza Data Warehousing Oracle SQL Data Lake Sybase Informix Data Warehouse Aerospike Database Modeling Database Design SSIS Doctrine ORM KSQL Slick database query ArangoDB Apache Kylin RocksDB Bigtable SSAS

PHP Frameworks / Libraries / Tools

Slim Symfony Laravel Xdebug CakePHP CodeIgniter Kohana Composer Twig Yii Zend Faker Psr PHPUnit Phalcon FastCGI Process Manager (FPM)Lumen October CMS Apiato

AI & Machine Learning

Keras Machine Learning NumPy OpenCV Scikit-learn TensorFlow Xgboost CNN PyTorch Azure Cognitive Search Apache Spark ML Deep Learning AWS Machine learning services (ML)AWS SageMaker (Amazon SageMaker)Kubeflow Mlflow Neural Networks

Cloud Platforms, Services & Computing

Heroku Spring Cloud Linode Firebase Cloud Messaging DigitalOcean SAAS CloudFlare Salesforce Commerce Cloud Rackspace Alibaba Cloud Zapier Monday Hetzner Zoho Netlify MS Flow Jira Software Cloud Oracle OCI PagerDuty Informatica Softlayer

Amazon Web Services

AWS API AWS Cloud Data Science services AWS EBS AWS EC2 AWS ECS (Amazon Elastic Container Service)AWS ElasticSearch AWS IAM (Amazon Identity and Access Management)AWS VPC AWS Redshift AWS Security Groups AWS SNS AWS SQS (Amazon Simple Queue Service)AWS Elastic Kubernetes Service (EKS)AWS Lambda AWS S3 AWS DynamoDB AWS SES (Amazon Simple Email Service)AWS Cloudformation AWS EMR AWS S3 MinIO AWS ECR AWS Amplify AWS SDK for Android AWS Serverless AWS CodePipeline AWS Secrets Manager AWS Timestream (Amazon Time Series Database)AWS ElastiCache AWS Machine learning services (ML)AWS Route 53 AWS Pipeline AWS EFS (Amazon Elastic File System)AWS Boto3 AWS Advertising API AWS Auto Scaling AWS Kinesis AWS EB (Amazon Elastic Beanstalk)AWS Glue AWS API Gateway AWS AppSync AWS MQ AWS big data services AWS ELB (Amazon Elastic Load Balancer)AWS CloudWatch AWS R53 AWS CLI (Amazon Command Line Interface)AWS Aurora AWS Fargate AWS Batch AWS CodeDeploy AWS basics AWS RDS (Amazon Relational Database Service)AWS Quicksight AWS CloudTrail AWS WorkSpaces AWS ALB AWS CloudFront AWS LightSail AWS Cognito AWS SageMaker (Amazon SageMaker)AWS SAM AWS STS AWS DevOps AWS SDK AWS Glue Studio AWS CDK

Google Cloud Platform

Google Cloud AI Google App Engine Google Compute Engine (GCE)Google Data Studio Google Services Google Kubernetes Engine (GKE)GCP AI GCP Big Data services GCP Storage Google Docs Google BigQuery Google Cloud Storage Google Workspace Google Cloud Pub/Sub

Adobe Experience Manager (AEM)

AEM Sightly

Codecs & Media Containers

Ffmpeg

Collaboration, Task & Issue Tracking

Cron Redmine Asana Jira + Confluence Rally IBM Rational ClearCase YouTrack Atlassian JIRA OTRS Miro Slack Notion Microsoft Teams Atlassian Confluence Atlassian Trello Microsoft SharePoint

Hosting, Control Panels

uWSGI cPanel

Logging and Monitoring

Grafana Logstash Sentry Nagios Zabbix Cacti Prometheus Splunk Datadog Graylog SIP Azure Monitor Opsgenie Monit The Dude

Message/Queue/Task Brokers

Celery RabbitMQ Apache Oozie Twillio Kafka Streams Apache ActiveMQ Apache Kafka IBM MQ NATS Message Queue Telemetry Transport (MQQT)AWS MQ ZeroMQ Redis MQ Mosquitto

Operating Systems

Centos Debian Fedora FreeBSD Linux Ubuntu Unix Windows macOS Exim iOS Oracle Solaris RedHat Windows Phone OpenSuse GNU Arch Linux HP-UX NetBSD MS-DOS

Project Management & Administration

Product Management Project Management MVP Communication Problem Solving Leadership Strategy Marketing strategies ROI Scrum Master Product Roadmaps Acceptance Criteria Startups Amplitude Marketing research Flow chart

QA, Test Automation, Security

QA Automation Automated testing BugZilla Capybara Cucumber JUnit Apache Maven Mockito RSpec Postman UI/UX testing QA Jasmine Mocha Appium WebdriverIO Protractor CodeceptJS SoapUI JMeter Selenoid Wireshark JBehave PyTest SpecFlow NUnit Espresso XCUITEST Gatling Manual Testing Selenide TestLink Fiddler Mantis Firebug Behavior-driven development (BDD)Selenium Webdriver Chrome DevTools Functional Testing UI testing Selenium IDE Cypress Allure Unit Testing Testing Jest React Testing Library Karma Browserstack SauceLabs TestRail Serenity Spock Burp Suite API testing Software testing Test design Charles Proxy WEB testing XCTest Gherkin Nmap MS Test stress testing regression testing smoke testing GUI testing bug reports xunit Zeplin nock Chrome Developer Tool Testing Library Puppeteer TestFlight Percy E2E tests Locust OWASP ZAP Minitest PHPUnit PhantomJS App Tester Ad-hoc testing Cross-browser testing ReportPortal Test Plan Test Cases Scalatest Mobile Testing Allure Reports Cloud Security Performance Testing Applitools Cybersecurity Integration testing Zephyr Newman exploratory testing Playwright Allure Report non-functional testing Mock A/B Testing e2e testing Metasploit Nessus Manual and Automation Testing Load Testing Sanity Testing Selenium Grid K6 Selenium React-testing-library web application security Usability tests Equivalence Partitioning Boundary Value Analysis Localization testing Mobile automation testing iOS

Scripting and Command Line Interfaces

Make Bash Perl *nix Shell Scripts CLI Powershell Shell Scripts Angular CLI EMacs ZSH XSS Regexp

SDK / API and Integrations

AWS API Facebook API Google Maps API Rails API Stripe Swagger OAuth Google API JSON Web Token (JWT)Apollo GraphQL Zuul Log4j API Sendgrid API Microsoft Azure API LinkedIn API PayPal API Cloud based API YouTube API Dropbox API Twitter API Telegram API Eslint LinkedIn API Android SDK AmoCRM API IOS SDK SOAP API ASP.NET Web API Web API API testing Android APIs iOS APIs Twilio Jira API ServiceNow API Kotlin Flow Retrofit Hubspot API SharePoint API Twilio API Facebook SDK AWS SDK for Android Windows API JSON API Context API Fetch API Hasura FastApi Mulesoft RESTful API Apiary Google SDK Payment Gateways Plivo Spotify JSP Liferay Electronic Data Interchange (EDI)Insomnia AWS Advertising API Mailchimp API API Callouts OpenAPI AWS API Gateway Metadata API Bulk API Keycloak windows forms (winforms)Atlassian SDK Swagger API OIDC Git API Bigcommerce API DirectX Collections API RestTemplate ApiGateway

UiPath

UIPath REFramework UIPath UiPath Orchestrator UiPath Document Understanding UiPath Studio

Version Control

BitBucket GitHub GitLab Mercurial Perforce Git SVN VCS CVS Github Actions Assembla Gitflow Gerrit Apache Subversion Git submodules Nexus Crucible

Virtualization, Containers and Orchestration

OpenVZ Proxmox Terraform Vagrant VmWare XEN Docker LXC Docker Swarm Rancher OpenVPN Docker Compose Docker Registry vSphere VPN Google Compute Engine (GCE)VMWare ESXi WebAssembly Kubenetes ESXi VMWare ESX KVM (for Kernel-based Virtual Machine)Oracle VM VirtualBox IPSec VPN LXD Terragrunt Packer Nomad LibVirt

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

Table of Contents

How and where is Data Engineering used?

Real-time data processing: Collecting and analyzing data instantly
Data warehousing: Storing and managing large volumes of data efficiently
Data migration: Transferring data between systems seamlessly
Data modeling: Designing data structures for optimal performance
ETL processes: Extracting, transforming, and loading data accurately
Big data analytics: Handling and analyzing massive datasets effectively
Data quality management: Ensuring data accuracy and consistency
Streamlining workflows: Automating data pipelines for efficiency
Machine learning integration: Preparing data for AI and ML algorithms
Scalability optimization: Scaling data infrastructure for growth

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

Seniority Name	Years of experience	Responsibilities and activities	Average salary (USD/year)
Junior	0-2 years	Assist in data collection Basic data analysis Support senior developers	50,000
Middle	2-5 years	Develop ETL processes Optimize data pipelines Code review	80,000
Senior	5-8 years	Design data architecture Lead projects Mentor junior developers	110,000
Expert/Team Lead	8+ years	Set data strategy Manage teams Drive innovation	150,000

Quick Facts about Data Engineering.

It all began in 1997, a time when Spice Girls ruled the charts!
From ETL pipelines to real-time data processing, this tech does it all!
Don’t worry, you don’t need to be a rocket scientist to start using it!
Its best buddy is definitely Big Data – they make the dream team!
Did you know? The first data engineer was actually a wizard in disguise!

TOP Data Engineering Related Technologies

Apache Hadoop (Apache Software Foundation)

Author: Doug Cutting, 2006

Apache Spark (Apache Software Foundation)

Author: Matei Zaharia, 2014

Python

Author: Guido van Rossum, 1991

What are top Data Engineering instruments and tools?

Airflow: Open-source platform by Apache, released in 2014
Spark: Apache’s in-memory computation tool, released in 2014
Kafka: A distributed event streaming platform by Apache, released in 2011
Hadoop: Distributed storage and processing framework by Apache, released in 2006
Flink: Distributed streaming dataflow engine by Apache, released in 2016
Beam: Unified programming model by Apache, released in 2016

Hire Data Engineering Developer

Hire Freelance Data Engineering Developers and Engineers

Marcio A., Data Engineering Developer

Radhey P., Data Engineering Developer

Henry A., Data Engineering Developer

Sign up now to see more Data Engineering developers

Talk to Our Talent Expert

Only 3 Steps to Hire Data Engineering Developer

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

Yaroslav Kuntsevych

Hire Data Engineering Developer as Effortless as Calling a Taxi

FAQs on Data Engineering Development

What is a Data Engineering Developer?

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

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

How does the hiring process work on Upstaff.com?

What is the cost of hiring a Data Engineering Developer?

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

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

How do I manage a Data Engineering Developer once hired?

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

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

Discover Our Talent Experience & Skills

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

How and where is Data Engineering used?

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

Quick Facts about Data Engineering.

TOP Data Engineering Related Technologies

What are top Data Engineering instruments and tools?

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