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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.
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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.
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

$ 5,000 - $ 6,500 / month
Checking job availability...
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We are looking for a skilled Data Engineer to join the Insights, Digitalization & Analytics team. The ideal candidate will be responsible for designing, developing, and maintaining scalable data solutions that drive analytics, machine learning, and business insights. Key responsibilities include building data pipelines, APIs, and dashboards, deploying Machine Learning projects, and leveraging big data technologies and cloud platforms.

Responsibilities:

  • Design, develop, and maintain ETL/ELT pipelines, API endpoints, and data applications across both cloud (Microsoft Azure) and on-premise environments, integrating internal and external data sources, including web scraping of public data (with a focus on ensuring compliance).
  • Continuously monitor, optimize, and maintain data quality, performance, and availability through data cleansing, transformation, and the deployment of scalable solutions.
  • Create and optimize interactive dashboards to visualize key business metrics, working closely with stakeholders to design intuitive user interfaces and integrate them with backend data pipelines.
  • Implement CI/CD pipelines, automate deployments, and ensure the scalability and performance of data and Machine Learning (ML)/AI solutions.
  • Collaborate with Data Scientists and software engineers to deploy, monitor, and maintain ML/AI projects within production systems.

Requirements:

  • A bachelor’s degree in Computer Science, Computer Engineering, or a related field (specialization in Software Engineering is a plus).
  • 2–3 years of experience in data engineering or software engineering, with expertise in data warehousing, big data platforms, cloud technologies, and automation tools.
  • Strong skills in data analysis, verification, and problem-solving.
  • Analytical, detail-oriented, and a collaborative team player.
  • Effective communication skills, with the ability to work across teams.
  • Ability to manage multiple tasks in a dynamic environment.
  • Self-motivated and eager to learn new technologies and skills.

Technical Skills:

  • Proficiency in relational databases (MS SQL Server), NoSQL, and ETL pipelines using Python or ETL tools (e.g., Microsoft SSIS, Informatica IPC).
  • Familiarity with Python web application and API development tools (e.g., Flask, Requests) and web scraping tools (e.g., BeautifulSoup, Scrapy).
  • Expertise in Power BI, including DAX and Power Query, for creating reports and dashboards.
  • Experience with Microsoft Azure PaaS services, including Azure Data Factory, Data Lake Storage, App Service, and Azure SQL, along with CI/CD pipelines using Azure DevOps.
  • Knowledge of Machine Learning tools (e.g., AutoML platforms like Azure AutoML or DataRobot) and ML libraries (e.g., Scikit-learn, TensorFlow, PyTorch, Keras).
  • Familiarity with big data technologies (e.g., Hadoop, Hive, Spark) and the Databricks platform (a plus).

Interested candidates, who wish to apply for the advertised position, please apply now for the below role
We regret that only shortlisted candidates will be notified.

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