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

$ 7,000 - $ 10,000 / month
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Key Responsibilities:

  • Data Infrastructure Development: Design and build scalable, efficient, and secure data infrastructure to support advanced analytics and reporting systems.
  • ETL Pipeline Development: Develop and maintain robust ETL (Extract, Transform, Load) pipelines to process data from various sources, ensuring high-quality, consistent, and accurate data.
  • Data Integration: Integrate multiple internal and external data sources, ensuring seamless data flow across platforms.
  • Data Modeling: Create and maintain data models and schemas that ensure the efficient storage and retrieval of data.
  • Optimization and Performance Tuning: Enhance the performance and scalability of data pipelines, optimizing for speed and reliability.
  • Collaboration: Work closely with data scientists, business analysts, and other teams to ensure that data is organized and accessible for analysis, reporting, and machine learning applications.
  • Data Governance: Implement data quality control processes to maintain data integrity and consistency.
  • Automation: Automate data workflows and systems to ensure efficiency and reduce manual work.
  • Troubleshooting and Maintenance: Monitor the health of data systems, diagnose issues, and maintain optimal data system performance.

Qualifications:

  • Education: Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field (or equivalent professional experience).
  • Experience:2+ years of experience in data engineering, database management, or a similar field.
    Experience working with cloud platforms (AWS, Google Cloud, or Azure).
    Proficiency in relational and NoSQL databases (MySQL, PostgreSQL, MongoDB, Cassandra).
    Solid experience with ETL processes and tools (e.g., Apache Airflow, Talend, or custom-built pipelines).

Key Responsibilities:

  • Data Infrastructure Development: Design and build scalable, efficient, and secure data infrastructure to support advanced analytics and reporting systems.
  • ETL Pipeline Development: Develop and maintain robust ETL (Extract, Transform, Load) pipelines to process data from various sources, ensuring high-quality, consistent, and accurate data.
  • Data Integration: Integrate multiple internal and external data sources, ensuring seamless data flow across platforms.
  • Data Modeling: Create and maintain data models and schemas that ensure the efficient storage and retrieval of data.
  • Optimization and Performance Tuning: Enhance the performance and scalability of data pipelines, optimizing for speed and reliability.
  • Collaboration: Work closely with data scientists, business analysts, and other teams to ensure that data is organized and accessible for analysis, reporting, and machine learning applications.
  • Data Governance: Implement data quality control processes to maintain data integrity and consistency.
  • Automation: Automate data workflows and systems to ensure efficiency and reduce manual work.
  • Troubleshooting and Maintenance: Monitor the health of data systems, diagnose issues, and maintain optimal data system performance.

Qualifications:

  • Education: Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field (or equivalent professional experience).
  • Experience:2+ years of experience in data engineering, database management, or a similar field.
    Experience working with cloud platforms (AWS, Google Cloud, or Azure).
    Proficiency in relational and NoSQL databases (MySQL, PostgreSQL, MongoDB, Cassandra).
    Solid experience with ETL processes and tools (e.g., Apache Airflow, Talend, or custom-built pipelines).