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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...
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Azure Data Engineer

RM 8,000 - RM 10,000 / month
Checking job availability...
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Responsibilities:

  • Active member of the data engineering team
  • Conduct full lifecycle analysis to include requirements, activities, and design
  • Build data flows for data acquisition, aggregation, and modelling, using both batch and streaming paradigms
  • Development of high-quality code for the core data stack including data integration hub, data warehouse and data pipelines under Azure services.
  • Define new data collection and analysis processes.
  • Support and optimize data tools and associated cloud environments for consumption by downstream systems, data analysts and data scientists
  • Ensure code, configuration and other technology artifacts are delivered within agreed time schedules and any potential delays are escalated in advance
  • Collaborate across developers as part of a SCRUM team ensuring collective team productivity
  • Participate in peer reviews and QA processes to drive higher quality

Experience and Skills:

  • 4-6 years professional experience as a data engineer, software engineer, ETL Developer or related role.
  • High level of T-SQL and data modelling skills in MS SQL Server or Azure SQL environment
  • 3+ years of relevant experience building complex data pipelines using Azure Data Factory, Azure Databricks and MS Fabric
  • Proven experience with all aspects of the Data Pipeline (Data Sourcing, Transformations, Data Quality, Etc…).
  • Experience with Azure DevOps including test and build automation tools and processes
  • Experience with relational and dimensional database modelling (Relational, Kimball, Data Vault)
  • Exposure to commercial real estate investment domain will have an edge
  • Experience with Power BI would be an advantage

Personal Attributes:

  • Positive, Proactive and Committed
  • Strong communications skills (verbal and written) and outstanding interpersonal skills
  • Demonstrate a strong work ethic with willingness to do what it takes to get the job done
  • Exceptional active listening skills
  • Team player with focus on team success

Job Type: Permanent

Pay: RM8,000.00 - RM10,000.00 per month

Benefits:

  • Health insurance
  • Opportunities for promotion
  • Professional development

Schedule:

  • Day shift

Experience:

  • Data Factory: 4 years (Required)
  • Databricks: 2 years (Required)
  • Azure: 3 years (Required)

Work Location: In person