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
Any Question? Contact us
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Jobs or company...

Data Engineer

Salary undisclosed

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We are seeking a Data Engineer for our esteemed client, located at Menara Dayabumi, Kuala Lumpur, with a maximum salary of RM10,000. The candidate will be responsible for designing and maintaining data pipeline architectures, assembling complex data sets, and improving the data lake infrastructure. They will also be involved in internal process improvements, ensuring data quality through automated testing, and supporting technical data platform needs.

Key Job Functions:

  1. Data Pipeline Architecture: Create, optimize, and maintain data pipelines for large and complex datasets.
  2. Data Lake Management: Improve and maintain data lake solutions, ensuring scalability and efficiency.
  3. Technical Support and Process Optimization: Collaborate with the team to resolve data issues, peer review code, and implement process improvements.

The ideal candidate should have 5 years of experience in Data Engineering, proficiency in AWS tools, SQL, Python, and experience with relational and NoSQL databases.

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