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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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Job Overview

The focus is on setting up and maintaining structured data pipelines for the Montessori Gym’s omnichannel ecosystem. This role involves designing data architecture, integrating multiple platforms, and enabling efficient data-driven decision-making.

Job Description
  • Design and implement data structures in BigQuery and other cloud-based environments.
  • Integrate data from multiple sources, including CRM, Learning Management System (LMS), Google Spreadsheets, and ad platforms like TikTok, Meta, and Google Ads.
  • Develop APIs and automation processes to streamline data flow across existing systems.
  • Build and maintain dashboards using services like Metabase, Superset, Google Data Studio, or similar tools.
  • Optimize raw data storage and transformation to support advanced manual analysis.
  • Ensure data accuracy, security, and compliance across all touchpoints.

Job Requirements
  • 1-3 years of experience in data engineering, cloud computing, or related roles.
  • Understand and can implement data engineering best practices.
  • Hands-on experience with Google Cloud Platform (GCP) or similar cloud providers.
  • Strong understanding of BigQuery, Big Data processing, and ETL pipelines.
  • Experience working with APIs and integrating multiple data sources.
  • Proficiency in SQL, Python, or other relevant scripting languages.
  • Familiarity with data visualization tools like Metabase, Superset, or Google Data Studio.
  • Ability to work independently and structure data ecosystems from scratch.
Job Overview

The focus is on setting up and maintaining structured data pipelines for the Montessori Gym’s omnichannel ecosystem. This role involves designing data architecture, integrating multiple platforms, and enabling efficient data-driven decision-making.

Job Description
  • Design and implement data structures in BigQuery and other cloud-based environments.
  • Integrate data from multiple sources, including CRM, Learning Management System (LMS), Google Spreadsheets, and ad platforms like TikTok, Meta, and Google Ads.
  • Develop APIs and automation processes to streamline data flow across existing systems.
  • Build and maintain dashboards using services like Metabase, Superset, Google Data Studio, or similar tools.
  • Optimize raw data storage and transformation to support advanced manual analysis.
  • Ensure data accuracy, security, and compliance across all touchpoints.

Job Requirements
  • 1-3 years of experience in data engineering, cloud computing, or related roles.
  • Understand and can implement data engineering best practices.
  • Hands-on experience with Google Cloud Platform (GCP) or similar cloud providers.
  • Strong understanding of BigQuery, Big Data processing, and ETL pipelines.
  • Experience working with APIs and integrating multiple data sources.
  • Proficiency in SQL, Python, or other relevant scripting languages.
  • Familiarity with data visualization tools like Metabase, Superset, or Google Data Studio.
  • Ability to work independently and structure data ecosystems from scratch.