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...

Big Data Developer

Salary undisclosed
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Simplified
Job Title: Big Data Developer

Location: Kuala Lumpur, Malaysia

Employment Type: Full-time

Key Responsibilities:
  • Design, develop, and maintain big data pipelines to ingest, process, and transform large datasets.
  • Implement efficient data storage solutions using technologies like Hadoop, Spark, Kafka, and Hive.
  • Develop and manage ETL (Extract, Transform, Load) processes to integrate data from various sources.
  • Optimize data processing performance and ensure scalability for large datasets.
  • Work with data engineers, analysts, and business stakeholders to gather data requirements.
  • Develop and maintain data models, ensuring data quality, integrity, and consistency.
  • Implement data security best practices, ensuring compliance with privacy regulations.
  • Collaborate with DevOps teams to automate deployment and monitor data pipelines.
  • Troubleshoot performance issues and implement data recovery strategies when necessary.
  • Document data processes, architecture, and technical specifications.
Qualifications and Skills:
  • Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Technology, or related fields.
  • Proven experience as a Big Data Developer, Data Engineer, or similar role.
  • Proficiency in Python, Scala, or Java for data processing.
  • Strong experience with Apache Spark, Hadoop, Kafka, or Flink.
  • Hands-on experience with SQL, NoSQL databases, and data warehousing solutions.
  • Familiarity with cloud platforms like AWS, Azure, or Google Cloud Platform (GCP).
  • Experience in building ETL pipelines and integrating data from various sources.
  • Strong understanding of data partitioning, indexing, and performance tuning for large datasets.
  • Excellent problem-solving skills and ability to optimize complex data workflows.

Interested candidates can send their resumes to [email protected]

Job Title: Big Data Developer

Location: Kuala Lumpur, Malaysia

Employment Type: Full-time

Key Responsibilities:
  • Design, develop, and maintain big data pipelines to ingest, process, and transform large datasets.
  • Implement efficient data storage solutions using technologies like Hadoop, Spark, Kafka, and Hive.
  • Develop and manage ETL (Extract, Transform, Load) processes to integrate data from various sources.
  • Optimize data processing performance and ensure scalability for large datasets.
  • Work with data engineers, analysts, and business stakeholders to gather data requirements.
  • Develop and maintain data models, ensuring data quality, integrity, and consistency.
  • Implement data security best practices, ensuring compliance with privacy regulations.
  • Collaborate with DevOps teams to automate deployment and monitor data pipelines.
  • Troubleshoot performance issues and implement data recovery strategies when necessary.
  • Document data processes, architecture, and technical specifications.
Qualifications and Skills:
  • Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Technology, or related fields.
  • Proven experience as a Big Data Developer, Data Engineer, or similar role.
  • Proficiency in Python, Scala, or Java for data processing.
  • Strong experience with Apache Spark, Hadoop, Kafka, or Flink.
  • Hands-on experience with SQL, NoSQL databases, and data warehousing solutions.
  • Familiarity with cloud platforms like AWS, Azure, or Google Cloud Platform (GCP).
  • Experience in building ETL pipelines and integrating data from various sources.
  • Strong understanding of data partitioning, indexing, and performance tuning for large datasets.
  • Excellent problem-solving skills and ability to optimize complex data workflows.

Interested candidates can send their resumes to [email protected]