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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...

AWS Data Engineer

Salary undisclosed
Checking job availability...
Original
Simplified

Job Title: AWS Data Engineer

Location: Kuala Lumpur, Malaysia

Job Type: Full-Time

Key Responsibilities:

  • Build and maintain robust data pipelines to ingest and process diverse data sources, ensuring high efficiency and reliability.
  • Design and develop real-time streaming and batch-processing pipelines to meet business requirements and enable data analytics.
  • Assemble large, complex data sets, ensuring they meet both functional and non-functional requirements.
  • Design, develop, and implement data pipelines for data migration, data collection, and analytics solutions.
  • Collaborate with stakeholders and data analyst teams to resolve data-related technical issues and support their infrastructure needs.
  • Work closely with Architects to help define the data architecture and technology stack.

Required Skills and Qualifications:

  • 3+ years of relevant experience as a Data Engineer, with hands-on expertise in AWS technologies.
  • Proficiency in Python programming and experience with the Hadoop Stack (including Hive, Spark Core & Streaming, Kafka, Flink, NIFI).
  • Experience working on stream transformations using Spark Streaming or Flink, including change data capture in a big data ecosystem.
  • Hands-on experience with building real-time and batch ingestion and transformation data pipelines.
  • Experience working with AWS services such as S3, EMR, and Redshift.
  • Experience in implementing Data Vault and star schema frameworks using Redshift for data warehousing.
  • Ability to work with DevOps teams to orchestrate workflows using Airflow.
  • Strong understanding of iPython, Big Data, and hands-on SQL.
  • Strong troubleshooting and problem-solving abilities in data engineering contexts.

Desirable Skills:

  • Experience with Data Lake architecture and ETL processes on AWS.
  • Familiarity with additional AWS services such as Glue, Lambda, and Kinesis.
  • Experience working with data governance and data security best practices.

Interested candidates are welcome to send their resumes to [email protected]

Job Title: AWS Data Engineer

Location: Kuala Lumpur, Malaysia

Job Type: Full-Time

Key Responsibilities:

  • Build and maintain robust data pipelines to ingest and process diverse data sources, ensuring high efficiency and reliability.
  • Design and develop real-time streaming and batch-processing pipelines to meet business requirements and enable data analytics.
  • Assemble large, complex data sets, ensuring they meet both functional and non-functional requirements.
  • Design, develop, and implement data pipelines for data migration, data collection, and analytics solutions.
  • Collaborate with stakeholders and data analyst teams to resolve data-related technical issues and support their infrastructure needs.
  • Work closely with Architects to help define the data architecture and technology stack.

Required Skills and Qualifications:

  • 3+ years of relevant experience as a Data Engineer, with hands-on expertise in AWS technologies.
  • Proficiency in Python programming and experience with the Hadoop Stack (including Hive, Spark Core & Streaming, Kafka, Flink, NIFI).
  • Experience working on stream transformations using Spark Streaming or Flink, including change data capture in a big data ecosystem.
  • Hands-on experience with building real-time and batch ingestion and transformation data pipelines.
  • Experience working with AWS services such as S3, EMR, and Redshift.
  • Experience in implementing Data Vault and star schema frameworks using Redshift for data warehousing.
  • Ability to work with DevOps teams to orchestrate workflows using Airflow.
  • Strong understanding of iPython, Big Data, and hands-on SQL.
  • Strong troubleshooting and problem-solving abilities in data engineering contexts.

Desirable Skills:

  • Experience with Data Lake architecture and ETL processes on AWS.
  • Familiarity with additional AWS services such as Glue, Lambda, and Kinesis.
  • Experience working with data governance and data security best practices.

Interested candidates are welcome to send their resumes to [email protected]