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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.
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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.
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  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).
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Jobs or company...

Big Data Hadoop

  • Full Time, onsite
  • Voto Consulting LLC
  • Hybrid3 days on site , United States of America
Salary undisclosed
Checking job availability...
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Job Description
We are looking for an experienced Big Data Developer with expertise in Hadoop Ecosystems, Data Engineering, and Cloud Technologies. The ideal candidate should have strong hands-on experience in Big Data, Data Lakes, and ETL pipelines, along with a solid understanding of data warehousing and visualization.
Key Responsibilities:
Design, develop, and optimize Big Data and Data Lake solutions.
Build and maintain ETL pipelines and data marts for large-scale data processing.
Work with relational databases such as PostgreSQL, MySQL, SQL Server, AWS RDS, and BigQuery.
Implement CI/CD pipelines using Jenkins, Bitbucket, GitHub, Maven, SVN, and Azure DevOps.
Leverage Docker and Kubernetes for containerization and deployment.
Utilize Hadoop, Hive, and Databricks for Big Data processing.
Work with cloud platforms (Google Cloud Platform preferred) to develop and deploy scalable solutions.
Required Skills & Experience:
5-7 years of hands-on experience in Data Modeling, Warehousing, ETL Pipelines, and Data Visualization.
Strong knowledge of Big Data technologies (Hadoop, Hive, Databricks).
Experience working with cloud platforms (Google Cloud Platform preferred).
Proficiency in relational databases (PostgreSQL, MySQL, SQL Server, AWS RDS, BigQuery).
Expertise in Docker, Kubernetes, and containerization.
Extensive experience with CI/CD pipeline setup using Jenkins, Bitbucket, GitHub, Maven, SVN, and Azure DevOps.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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