Epicareer Might not Working Properly
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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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Quantexa Cloud Data Engineer

$ 4,000 - $ 5,000 / month
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Job Summary

We are looking for a Data Engineer with strong expertise in data pipeline development, database management, and AI/ML integration. The ideal candidate has hands-on experience in big data systems, cloud infrastructure, and data-driven automation. This role involves building scalable data solutions, optimizing ETL processes, and working closely with analysts and data scientists to develop data-intensive applications.

Key Responsibilities

  • Design, build, and maintain scalable ETL/ELT pipelines to process large volumes of structured and unstructured data.
  • Develop automated data ingestion and transformation workflows using Python, SQL, and cloud services (AWS, GCP, Alibaba Cloud).
  • Integrate real-time and batch data sources from APIs, databases, and third-party platforms.
  • Design and optimize relational and NoSQL databases (PostgreSQL, MySQL, MongoDB).
  • Manage cloud-based data infrastructure using AWS, Alibaba Cloud, or Google Cloud.
  • Implement CI/CD pipelines for data applications using GitHub Actions, Docker, and Kubernetes.
  • Work with big data technologies (Hadoop, Spark) for large-scale data processing.
  • Build data models, warehouses, and lakes to support business intelligence and AI/ML projects.
  • Ensure data integrity, quality, and governance across multiple platforms.
  • Collaborate with data scientists to deploy ML models into production environments.
  • Optimize model performance and inference pipelines using Python frameworks (TensorFlow, PyTorch, Scikit-learn).
  • Develop tools for feature engineering, data labeling, and model monitoring.

Qualifications

  • Education: Bachelor's degree in Data Science, Computer Science, or a related field.
  • Technical Skills:
    • Strong experience with Quantexa, Python, SQL, Java, and shell scripting.
    • Knowledge of big data tools (Hadoop, Spark, Kafka).
    • Hands-on experience with cloud platforms (AWS, Alibaba Cloud, GCP).
    • Proficiency in database management (PostgreSQL, MySQL, MongoDB).
    • Experience with APIs, ETL pipelines, and data streaming.
  • Preferred Experience:
    • Exposure to risk analytics, financial data modeling, or trading systems.
    • Experience with data visualization tools (Tableau, Power BI, Streamlit).

Understanding of DevOps practices, CI/CD, and containerization