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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...

Data Engineer

Salary undisclosed
Checking job availability...
Original
Simplified

Work Set up: Hybrid (Onsite in Taguig, BGC)

Work Schedule: M-F with possible on-call schedules, Morning Shift - Oceania UTC and Holiday applies

Level: Mid to Senior , 2 – 5 Years or up experience

In this role, you will design and develop state-of-the-art Data Platforms that enable Advanced Analytics and AI, driving tangible business outcomes for our clients.

Key Responsibilities

  • Consulting: Engage with clients to understand their needs, define strategy, and translate business requirements into technical solutions.
  • Azure Data Integration: Implement and manage data integration solutions using Azure tools.
  • Design & Architecture: Architect, model, and integrate data solutions that align with business goals and best practices.
  • Development: Build and maintain Lakehouse, Data Lake, and Data Warehouse solutions.
  • Agile/Scrum Participation: Collaborate effectively in Agile/Scrum teams to deliver high-quality solutions.

Required Skills

  • Azure Cloud Expertise: Proficiency in Azure cloud services, particularly in data engineering and integration.
  • Azure Data Factory/Data Pipelines: Hands-on experience with Azure Data Factory for data movement and transformation.
  • Azure Synapse/Azure SQL: Strong knowledge of Azure Synapse and SQL databases.
  • Azure Databricks or Spark: Experience in leveraging Azure Databricks or Spark for big data processing.
  • Data Modelling & Integration: Solid understanding of data modeling and integration techniques.
  • SQL: Advanced SQL skills for querying and managing data.
  • Python/PySpark: Proficiency in Python and PySpark for data processing.
  • Technical Excellence: A strong technical foundation to maximize the value of underlying technologies.
  • Agile Methodology: Experience in delivering projects using Agile methodologies.

Preferred Skills

  • Net Development: Familiarity with .Net for data applications.
  • API Development: Experience in developing APIs for data integration.
  • IoT & Stream Analytics: Knowledge of IoT data ingestion and real-time stream analytics.
  • Power BI: Proficiency in Power BI for data visualization.

Work Set up: Hybrid (Onsite in Taguig, BGC)

Work Schedule: M-F with possible on-call schedules, Morning Shift - Oceania UTC and Holiday applies

Level: Mid to Senior , 2 – 5 Years or up experience

In this role, you will design and develop state-of-the-art Data Platforms that enable Advanced Analytics and AI, driving tangible business outcomes for our clients.

Key Responsibilities

  • Consulting: Engage with clients to understand their needs, define strategy, and translate business requirements into technical solutions.
  • Azure Data Integration: Implement and manage data integration solutions using Azure tools.
  • Design & Architecture: Architect, model, and integrate data solutions that align with business goals and best practices.
  • Development: Build and maintain Lakehouse, Data Lake, and Data Warehouse solutions.
  • Agile/Scrum Participation: Collaborate effectively in Agile/Scrum teams to deliver high-quality solutions.

Required Skills

  • Azure Cloud Expertise: Proficiency in Azure cloud services, particularly in data engineering and integration.
  • Azure Data Factory/Data Pipelines: Hands-on experience with Azure Data Factory for data movement and transformation.
  • Azure Synapse/Azure SQL: Strong knowledge of Azure Synapse and SQL databases.
  • Azure Databricks or Spark: Experience in leveraging Azure Databricks or Spark for big data processing.
  • Data Modelling & Integration: Solid understanding of data modeling and integration techniques.
  • SQL: Advanced SQL skills for querying and managing data.
  • Python/PySpark: Proficiency in Python and PySpark for data processing.
  • Technical Excellence: A strong technical foundation to maximize the value of underlying technologies.
  • Agile Methodology: Experience in delivering projects using Agile methodologies.

Preferred Skills

  • Net Development: Familiarity with .Net for data applications.
  • API Development: Experience in developing APIs for data integration.
  • IoT & Stream Analytics: Knowledge of IoT data ingestion and real-time stream analytics.
  • Power BI: Proficiency in Power BI for data visualization.