Epicareer Might not Working Properly
Learn More
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
Any Question? Contact us
logo
Jobs or company...

Senior Data Engineer

Salary undisclosed
Checking job availability...
Original
Simplified
Our client, a global technology consultancy specializing in designing, developing, and scaling digital and sustainable solutions to create value across people, planet, and profit. With a presence in multiple countries and a diverse team of experts, the company is committed to ethical innovation and using technology as a force for good.Responsibilities:
  • Design, implement, and maintain scalable data pipelines for processing structured and unstructured data.
  • Build and manage data lakes and warehouses, ensuring efficient data storage and retrieval.
  • Leverage cloud platforms (AWS, Azure, GCP) to optimize data infrastructure for performance, cost, and reliability.
  • Implement data quality checks, validation, and governance frameworks to ensure accuracy and security compliance.
  • Optimize data pipelines to improve speed, reduce latency, and enhance system performance.
  • Collaborate with data scientists, analysts, and stakeholders to deliver business-driven solutions.
  • Implement data visualization solutions using tools like Tableau and PowerBI.
  • Stay updated on emerging technologies and trends in big data and data engineering.
Qualifications:
  • Bachelor's or Master's in IT, Computer Science, or related field with 6+ years of experience.
  • Strong knowledge of big data technologies (Hadoop, Spark) and NoSQL databases (Cassandra, MongoDB).
  • Experience with batch & ETL jobs, and querying tools (Hive, Spark SQL).
  • Proficiency in PowerBI and data visualization.
  • Experience or willingness to work with real-time stream processing (Kafka, AWS Kinesis).
  • Familiarity with DevOps/DataOps principles and automation.
  • Basic understanding of Data Science concepts.
  • Passionate about technology and continuous learning.
Wilson Tay
Direct Line: 6697 7866
EA License No: 91C2918
Personnel Registration Number: R2091205
Our client, a global technology consultancy specializing in designing, developing, and scaling digital and sustainable solutions to create value across people, planet, and profit. With a presence in multiple countries and a diverse team of experts, the company is committed to ethical innovation and using technology as a force for good.Responsibilities:
  • Design, implement, and maintain scalable data pipelines for processing structured and unstructured data.
  • Build and manage data lakes and warehouses, ensuring efficient data storage and retrieval.
  • Leverage cloud platforms (AWS, Azure, GCP) to optimize data infrastructure for performance, cost, and reliability.
  • Implement data quality checks, validation, and governance frameworks to ensure accuracy and security compliance.
  • Optimize data pipelines to improve speed, reduce latency, and enhance system performance.
  • Collaborate with data scientists, analysts, and stakeholders to deliver business-driven solutions.
  • Implement data visualization solutions using tools like Tableau and PowerBI.
  • Stay updated on emerging technologies and trends in big data and data engineering.
Qualifications:
  • Bachelor's or Master's in IT, Computer Science, or related field with 6+ years of experience.
  • Strong knowledge of big data technologies (Hadoop, Spark) and NoSQL databases (Cassandra, MongoDB).
  • Experience with batch & ETL jobs, and querying tools (Hive, Spark SQL).
  • Proficiency in PowerBI and data visualization.
  • Experience or willingness to work with real-time stream processing (Kafka, AWS Kinesis).
  • Familiarity with DevOps/DataOps principles and automation.
  • Basic understanding of Data Science concepts.
  • Passionate about technology and continuous learning.
Wilson Tay
Direct Line: 6697 7866
EA License No: 91C2918
Personnel Registration Number: R2091205