Epicareer Might not Working Properly
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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...
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Senior Data Engineer

$ 600 - $ 1,000 / month
Checking job availability...
Original
Simplified

Job Description

  • Design, develop, and test the deployment and operation phases of the Enterprise Data Platform for both current and future projects.
  • Review, build, or restructure data architecture and ensure its ongoing maintenance and testing.
  • Establish and implement best practices for data management, reporting, and security.
  • Enhance foundational data procedures, guidelines, and standards.
  • Evaluate datasets to identify opportunities for improving data reliability, efficiency, and quality.
  • Understand, design, acquire, and manage organizational datasets that support analytics to meet business objectives.
  • Optimize data retrieval processes to aid in the creation of dashboards and other visualizations for stakeholders.
  • Prepare core data for use in prescriptive and predictive modelling.

Requirements

  • Degree in Computer Science, Computer Engineering or a related field
  • Over 6 years expertise of Data Engineering
  • Experience with big data frameworks (e.g. Hadoop, Spark) and distributions (Cloudera, Hortonworks, MapR)
  • Experience with NoSQL databases (e.g. Cassandra, MongoDB, Neo4J, ElasticSearch)
  • Experience with querying tools (e.g Hive, Spark SQL, Impala)
  • Strong analytical prowess, problem-solving abilities, and decision-making capabilities.
  • Excellent written and verbal communication skills for effective collaboration and documentation
  • 2 Positions Available

Job Description

  • Design, develop, and test the deployment and operation phases of the Enterprise Data Platform for both current and future projects.
  • Review, build, or restructure data architecture and ensure its ongoing maintenance and testing.
  • Establish and implement best practices for data management, reporting, and security.
  • Enhance foundational data procedures, guidelines, and standards.
  • Evaluate datasets to identify opportunities for improving data reliability, efficiency, and quality.
  • Understand, design, acquire, and manage organizational datasets that support analytics to meet business objectives.
  • Optimize data retrieval processes to aid in the creation of dashboards and other visualizations for stakeholders.
  • Prepare core data for use in prescriptive and predictive modelling.

Requirements

  • Degree in Computer Science, Computer Engineering or a related field
  • Over 6 years expertise of Data Engineering
  • Experience with big data frameworks (e.g. Hadoop, Spark) and distributions (Cloudera, Hortonworks, MapR)
  • Experience with NoSQL databases (e.g. Cassandra, MongoDB, Neo4J, ElasticSearch)
  • Experience with querying tools (e.g Hive, Spark SQL, Impala)
  • Strong analytical prowess, problem-solving abilities, and decision-making capabilities.
  • Excellent written and verbal communication skills for effective collaboration and documentation
  • 2 Positions Available