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Please Turn on your JavaScript

Epicareer might not working properly because your browser javascript is turned off.

What is JavaScript?

JavaScript is like the magic behind making websites interactive. Basically, it makes Epicareer more enjoyable and engaging.
How do i turn this on?
Find tutorial for your browser below :
  1. Make sure the webpage is open.
  2. In the Safari app on your Mac, choose Safari > Preferences, then click Security.
  3. Make sure the Enable JavaScript checkbox is selected.
  4. Click Websites.
  5. On the left, click Content Blockers.
  6. Make sure Off is chosen in the pop-up menu next to the website.
  7. On the left, click Pop-up Windows.
  8. Make sure Allow is chosen in the pop-up menu next to the website.
Visit Site here
  1. Open Chrome on your computer.
  2. Click. then Settings.
  3. Click Privacy and Security.
  4. Click Site settings.
  5. Click JavaScript.
  6. Select Sites can use Javascript.
Visit Site here
  1. If you're running Windows OS, in the Firefox window, click Tools > Options.
  2. Tip: If you're running Mac OS, click the Firefox drop-down list > Preferences.
  3. On the Content tab, click the Enable JavaScript check box.
Visit Site here
  1. Click the "Settings and more" icon at the top right of the Edge browser window.
  2. Click Settings.
  3. From the Settings menu, click Cookies and site permissions.
  4. Scroll down and click on JavaScript.
  5. In the JavaScript window, toggle the slider to "on" or "allowed."
  6. Close the Settings tab.
  7. Refresh the page.
Visit Site here
  1. Go to Settings.
  2. Click Advanced in the left sidebar, and click Privacy & security.
  3. Under Privacy and security, click Site settings.
  4. Click JavaScript.
  5. At the top, turn on or off Allowed (recommended).
Visit Site here
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Jobs or company...

Sr Data Architect with past Data Engineer experience

Salary undisclosed
Checking job availability...
Original
Simplified
Sr Data Architect - Reading PA
  • 14+ years of overall technology experience required
  • 12+ years of Data Engineering, Data Modeling, Data Warehousing, Master Data Management, Reference Data Management, Data Lineage, Data Governance and Meta Data Management experience required
  • 7+ years of experience in defining Data & Analytics architecture implementing multiple large technology projects.
  • 5+ years of experience working with Agile teams preferred
  • Expertise in designing, validating and implementing multiple projects across the hybrid infrastructure ( On-cloud to On-Premise and vice versa)
  • Experience in seamless integration of enterprise data models with data models of packaged solutions (e.g. Oracle Apps, Workday, SAP, Service Now)
  • Expertise in setting up Data Lakes and analytical environments
  • Expertise with Data Engineering tools such as Talend, BODS
  • Expertise with relational SQL and NoSQL databases
  • Extensive experience in building data pipelines, data ingestions, data integrations, data preparations, and traditional Data warehouses and DataMarts
  • Experience with visualization tools such as QlikView, Qlik Sense, Tableau, etc.
  • Experience in message queuing, stream processing, and highly scalable big data data stores
  • Experience with big data tools such as Kafka
Datawarehouse, Data Lake , Data Modelling (traditional and latest), Data Management practice are mandatory
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
Report this job
Sr Data Architect - Reading PA
  • 14+ years of overall technology experience required
  • 12+ years of Data Engineering, Data Modeling, Data Warehousing, Master Data Management, Reference Data Management, Data Lineage, Data Governance and Meta Data Management experience required
  • 7+ years of experience in defining Data & Analytics architecture implementing multiple large technology projects.
  • 5+ years of experience working with Agile teams preferred
  • Expertise in designing, validating and implementing multiple projects across the hybrid infrastructure ( On-cloud to On-Premise and vice versa)
  • Experience in seamless integration of enterprise data models with data models of packaged solutions (e.g. Oracle Apps, Workday, SAP, Service Now)
  • Expertise in setting up Data Lakes and analytical environments
  • Expertise with Data Engineering tools such as Talend, BODS
  • Expertise with relational SQL and NoSQL databases
  • Extensive experience in building data pipelines, data ingestions, data integrations, data preparations, and traditional Data warehouses and DataMarts
  • Experience with visualization tools such as QlikView, Qlik Sense, Tableau, etc.
  • Experience in message queuing, stream processing, and highly scalable big data data stores
  • Experience with big data tools such as Kafka
Datawarehouse, Data Lake , Data Modelling (traditional and latest), Data Management practice are mandatory
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
Report this job