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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Big Data Engineer

$ 7,500 - $ 8,500 / month
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Job Description

Big Data Engineer

Job Requirement:

  • 5 years of hands on work experience in Hadoop, Scala, Pyspark and Python.
  • Work with Hadoop Distributed File System (HDFS) to manage and store large datasets
  • Utilize tools like Hive, HBase, and Pig to process data in Hadoop
  • Set up and manage data pipelines to extract, transform, and load (ETL) large datasets
  • Develop and optimize PySpark jobs and Scala-based Spark applications to process and analyze large-scale data
  • Integrate data from various sources (relational databases, flat files, APIs, etc.) using Python and Spark.
  • Build data models and perform advanced analytics using PySpark, Python libraries and Scala.

Job Description

Big Data Engineer

Job Requirement:

  • 5 years of hands on work experience in Hadoop, Scala, Pyspark and Python.
  • Work with Hadoop Distributed File System (HDFS) to manage and store large datasets
  • Utilize tools like Hive, HBase, and Pig to process data in Hadoop
  • Set up and manage data pipelines to extract, transform, and load (ETL) large datasets
  • Develop and optimize PySpark jobs and Scala-based Spark applications to process and analyze large-scale data
  • Integrate data from various sources (relational databases, flat files, APIs, etc.) using Python and Spark.
  • Build data models and perform advanced analytics using PySpark, Python libraries and Scala.