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...

Python/ ETL Data Engineer (AWS Only)

  • Full Time, onsite
  • Lavu Tech Solutions Sdn Bhd
  • Kawasan Sekitar Kuala Lumpur, Malaysia
Salary undisclosed
Checking job availability...
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Job Description:

Design and develop data pipelines using AWS Glue, AWS Athena, AWS Data Pipeline, and other ETL tools on AWS

Design and develop monitoring and early detection process for data pipeline issues such as missing data, lagging data etc.

Extract data from various sources, including relational databases, non-relational databases, and flat files

Transform data to meet business requirements and load into target data stores

Transform data based on existing data mapping and architecture

Monitor and troubleshoot data pipeline performance issues

Collaborate with other teams, including Data Scientists and Business Analysts, to understand data requirements and implement solutions

Continuously improve data pipeline performance and scalability

Build and maintain REST APIs for data access and integration with external systems

Implement testing and documentation

Strong experience building ETL pipelines on an AWS environment

In-depth knowledge of AWS services, including Redshift, Glue, EMR, and S3

Strong experience with SQL and database design

Experience coding in Python

Experience with REST API development and principles

Knowledge of API testing and documentation tools

Strong understanding of data warehousing and data modeling concepts

Experience with data pipeline monitoring and troubleshooting

Experience with data security and compliance best practices

Strong problem-solving and analytical skills

Job Description:

Design and develop data pipelines using AWS Glue, AWS Athena, AWS Data Pipeline, and other ETL tools on AWS

Design and develop monitoring and early detection process for data pipeline issues such as missing data, lagging data etc.

Extract data from various sources, including relational databases, non-relational databases, and flat files

Transform data to meet business requirements and load into target data stores

Transform data based on existing data mapping and architecture

Monitor and troubleshoot data pipeline performance issues

Collaborate with other teams, including Data Scientists and Business Analysts, to understand data requirements and implement solutions

Continuously improve data pipeline performance and scalability

Build and maintain REST APIs for data access and integration with external systems

Implement testing and documentation

Strong experience building ETL pipelines on an AWS environment

In-depth knowledge of AWS services, including Redshift, Glue, EMR, and S3

Strong experience with SQL and database design

Experience coding in Python

Experience with REST API development and principles

Knowledge of API testing and documentation tools

Strong understanding of data warehousing and data modeling concepts

Experience with data pipeline monitoring and troubleshooting

Experience with data security and compliance best practices

Strong problem-solving and analytical skills