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...

Senior Data Engineer

Salary undisclosed
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Position Responsibilities

  1. Design and Develop Data Pipelines: Create and maintain efficient, reliable, and scalable data pipelines that extract, transform, and load (ETL) data from diverse sources into AWS data storage systems.
  2. Data Modeling and Architecture: Design and implement data models for data warehousing and data lakes on AWS, ensuring data integrity, performance, and scalability.
  3. AWS Cloud Infrastructure: Utilize various AWS services such as Amazon S3, Amazon Redshift, AWS Glue, Amazon EMR, Amazon RDS, and others to build data solutions.
  4. Data Transformation and Processing: Develop data transformation processes, including data cleansing, enrichment, and aggregation, to ensure data accuracy and consistency.
  5. Performance Optimization: Identify and implement performance optimization techniques to enhance data processing speed and reduce latency in data pipelines.
  6. Data Security and Compliance: Ensure that data handling practices comply with relevant data security and privacy regulations. Implement security measures to protect sensitive data.
  7. Monitoring and Troubleshooting: Monitor data pipelines, data jobs, and data storage systems for issues and troubleshoot any data-related problems to ensure smooth data flow.
  8. Documentation: Create and maintain technical documentation for data engineering processes, data models, and data pipelines.
  9. Collaboration and Communication: Work closely with data scientists, analysts, and other stakeholders to understand data requirements and deliver data solutions that meet business needs.
  10. Continuous Improvement: Stay updated with the latest AWS services and data engineering best practices to propose and implement improvements to the existing data infrastructure.

Qualification and Experiences

  1. Bachelor's degree in Computer Science, Engineering, or a related field. A Master's degree is a plus.
  2. Proven experience as a Data Engineer/Architect for at least 3 years, specifically working with AWS data services and related technologies.
  3. Proven experience in AI/ML technologies
  4. Strong knowledge of AWS services such as Amazon S3, Amazon Redshift, AWS Glue, Amazon EMR, Amazon RDS, and others.
  5. Proficiency in programming languages such as Python, SQL, and familiarity with data manipulation frameworks/libraries.
  6. Hands-on experience with data modeling, data warehousing concepts, and building data pipelines using ETL tools.
  7. Familiarity with data governance, data security, and data privacy best practices.
  8. Excellent problem-solving skills and the ability to work independently as well as part of a team.
  9. Strong communication skills to effectively collaborate with cross-functional teams and convey technical concepts to non-technical stakeholders.

a Necessity, not a Luxury