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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.
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  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.
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  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.
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  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).
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Jobs or company...

Data Engineer CDP (Customer Data Platform)

Salary undisclosed
Checking job availability...
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Position Overview: We are seeking a proactive and technically skilled Data Engineer to join our growing team. The ideal candidate will have strong expertise in developing scalable data pipelines and managing complex datasets. Prior experience on Customer Data Platforms (CDP) will be a strong advantage. Experience on other data pipelines or analytics tools, such as Business Intelligence (BI) applications, data lake, lakehouse, data warehouse applications are advantageous, though not required. Fluency in Cantonese and/or Mandarin will be considered a significant asset.

Responsibilities:

  • Design, build, and maintain scalable data pipelines for diverse use cases, including real-time and batch data processing.
  • Collaborate with clients and internal stakeholders to understand requirements and deliver tailored solutions.
  • Optimize existing data workflows and pipelines to ensure reliability, efficiency, and scalability.
  • Implement integrations with platforms such as Adobe RT-CDP and Databricks.
  • Conduct regular testing, troubleshooting, and performance tuning to meet high-quality standards.
  • Maintain clear documentation of data processes and architectures.

Qualifications:

  • Bachelor's degree in Computer Science, Data Science, Engineering, or related fields.
  • Minimum 2 years of professional experience in data engineering, building robust and scalable data pipelines.
  • Proficiency in SQL, and familiarity with cloud platforms such as AWS, Azure, or GCP.
  • Experience with data warehousing solutions (e.g., Databricks, Snowflake, BigQuery, Redshift).
  • Exposure to modern data stack tools (e.g., Apache Airflow, dbt, Kafka, Spark).
  • Prior experience on customer data platforms, such as Adobe RT-CDP, Segment, Telium, Salesforce CDP, etc. will be a strong advantage.
  • Understanding or experience of BI tools (Tableau, PowerBI, Looker) will be highly advantageous.
  • Strong problem-solving, analytical, and communication skills.
  • Strong bonus given to candidates with good understanding of requirements from downstream applications, including business intelligence, analytics & marketing automation use cases.
  • Experience of assisting to define CDP or data lake data definitions.

Language Skills:

  • Fluency in English is required.

  • Proficiency in Cantonese or Mandarin is strongly preferred.

Position Overview: We are seeking a proactive and technically skilled Data Engineer to join our growing team. The ideal candidate will have strong expertise in developing scalable data pipelines and managing complex datasets. Prior experience on Customer Data Platforms (CDP) will be a strong advantage. Experience on other data pipelines or analytics tools, such as Business Intelligence (BI) applications, data lake, lakehouse, data warehouse applications are advantageous, though not required. Fluency in Cantonese and/or Mandarin will be considered a significant asset.

Responsibilities:

  • Design, build, and maintain scalable data pipelines for diverse use cases, including real-time and batch data processing.
  • Collaborate with clients and internal stakeholders to understand requirements and deliver tailored solutions.
  • Optimize existing data workflows and pipelines to ensure reliability, efficiency, and scalability.
  • Implement integrations with platforms such as Adobe RT-CDP and Databricks.
  • Conduct regular testing, troubleshooting, and performance tuning to meet high-quality standards.
  • Maintain clear documentation of data processes and architectures.

Qualifications:

  • Bachelor's degree in Computer Science, Data Science, Engineering, or related fields.
  • Minimum 2 years of professional experience in data engineering, building robust and scalable data pipelines.
  • Proficiency in SQL, and familiarity with cloud platforms such as AWS, Azure, or GCP.
  • Experience with data warehousing solutions (e.g., Databricks, Snowflake, BigQuery, Redshift).
  • Exposure to modern data stack tools (e.g., Apache Airflow, dbt, Kafka, Spark).
  • Prior experience on customer data platforms, such as Adobe RT-CDP, Segment, Telium, Salesforce CDP, etc. will be a strong advantage.
  • Understanding or experience of BI tools (Tableau, PowerBI, Looker) will be highly advantageous.
  • Strong problem-solving, analytical, and communication skills.
  • Strong bonus given to candidates with good understanding of requirements from downstream applications, including business intelligence, analytics & marketing automation use cases.
  • Experience of assisting to define CDP or data lake data definitions.

Language Skills:

  • Fluency in English is required.

  • Proficiency in Cantonese or Mandarin is strongly preferred.