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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Data Engineer

Salary undisclosed
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Simplified
Job Description

Key job responsibilities
  • Design, implement, and support a platform providing secured access to large datasets.
  • Develop and maintain end to end scalable data infrastructure and data pipelines
  • Design and implement routines to extract, transform, and load data from a wide variety of data sources using Python, SQL, scripting, and AWS big data technologies.
  • Design and implement complex ETL pipelines and other BI solutions.
  • Work closely with product owners, developers, and data strategists to explore new data sources and deliver the data.

Required Skills & Experience
  • At least 3- 5 years of hands-on experience in developing data ingestion, data processing and analytical pipelines for big data, relational databases, NoSQL and data warehouse solutions on AWS Cloud Platform
  • AWS data services experience in particular AWS Glue, Lambda, RDS PostgreSQL, S3, Redshift, Athena, and other data infrastructure automation services
  • Experience with scripting in a serverless architecture using Python.
  • Experience with Data modeling, querying, and optimization for relational, NoSQL, data warehouses and data lakes.
Job Description

Key job responsibilities
  • Design, implement, and support a platform providing secured access to large datasets.
  • Develop and maintain end to end scalable data infrastructure and data pipelines
  • Design and implement routines to extract, transform, and load data from a wide variety of data sources using Python, SQL, scripting, and AWS big data technologies.
  • Design and implement complex ETL pipelines and other BI solutions.
  • Work closely with product owners, developers, and data strategists to explore new data sources and deliver the data.

Required Skills & Experience
  • At least 3- 5 years of hands-on experience in developing data ingestion, data processing and analytical pipelines for big data, relational databases, NoSQL and data warehouse solutions on AWS Cloud Platform
  • AWS data services experience in particular AWS Glue, Lambda, RDS PostgreSQL, S3, Redshift, Athena, and other data infrastructure automation services
  • Experience with scripting in a serverless architecture using Python.
  • Experience with Data modeling, querying, and optimization for relational, NoSQL, data warehouses and data lakes.