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...

Data Engineer

RM 10,000 - RM 12,999 / month
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Key Responsibilities: • Design, implement, operate and improve the analytics platform • Design data solutions using various big data technologies and low latency architectures • Collaborate with data scientists, business analysts, product managers, software engineers and other data engineers to develop, implement and validate deployed data solutions. • Maintain the data warehouse with timely and quality data • Build and maintain data pipelines from internal databases and SaaS applications • Understand and implement data engineering best practices • Improve, manage, and teach standards for code maintainability and performance in code submitted and reviewed • Mentor and provide guidance to junior engineers on the job. Qualifications: • Expert at writing and optimising SQL queries • Proficiency in Python, Java or similar languages • Familiarity with data warehousing concepts • Experience in Airflow or other workflow orchestrators • Familiarity with basic principles of distributed computing • Experience with big data technologies like Spark, Delta Lake or others • Proven ability to innovate and leading delivery of a complex solution • Excellent verbal and written communication - proven ability to communicate with technical teams and summarise complex analyses in business terms • Ability to work with shifting deadlines in a fast-paced environment Desirable Qualifications: • Authoritative in ETL optimisation, designing, coding, and tuning big data processes using Spark • Knowledge of big data architecture concepts like Lambda or Kappa • Experience with streaming workflows to process datasets at low latencies • Experience in managing data - ensuring data quality, tracking lineages, improving data discovery and consumption • Sound knowledge of distributed systems - able to optimise partitioning, distribution and MPP of high-level data structures • Experience in working with large databases, efficiently moving billions of rows, and complex data modelling • Familiarity with AWS is a big plus • Experience in planning day to day tasks, knowing how and what to prioritise and overseeing their execution.