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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...
V

Data Engineer

Salary undisclosed

Apply on

Dice
Original
Simplified

Position: Data Engineer

Location: Remote

Duration: Long term contract

Skills that Client wants to see in the resume:
Databricks, Python, Pyspark, Azure, AWS & Terraform Experience

Job Summary:

We are seeking a highly skilled and experienced Data Engineer with expertise in Databricks, Python, PySpark, and cloud platforms such as Azure and AWS. The ideal candidate will also have experience in infrastructure-as-code using Terraform. As a Data Engineer, you will play a crucial role in designing, implementing, and optimizing our data pipelines and infrastructure to support our data-driven decision-making processes.

Key Responsibilities:

  • Design, build, and maintain scalable data pipelines using Databricks, Python, and PySpark to process and analyze large volumes of data.
  • Collaborate with data scientists, analysts, and business teams to understand data requirements and implement solutions.
  • Optimize and troubleshoot data pipelines for performance, scalability, and reliability.
  • Deploy and manage cloud infrastructure on both Azure and AWS for data processing and storage.
  • Implement infrastructure-as-code using Terraform to automate the provisioning and management of cloud resources.
  • Ensure data security and compliance with industry regulations and internal policies.
  • Monitor, maintain, and improve ETL processes, ensuring high availability of data pipelines.
  • Collaborate with DevOps teams to implement CI/CD for data infrastructure.
  • Develop and maintain data models and ensure efficient data storage strategies.
  • Participate in code reviews, performance tuning, and mentoring of junior engineers.

Required Qualifications:

  • Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience).
  • 10+ years of experience as a Data Engineer or in a similar role.
  • Proficiency in Databricks, Python, and PySpark for data processing and analytics.
  • Strong experience with Azure and AWS cloud platforms, including storage, compute, and networking services.
  • Experience in infrastructure-as-code tools, particularly Terraform, to automate cloud deployments.
  • Strong SQL skills and familiarity with relational and non-relational databases.
  • Experience in ETL development and data pipeline orchestration.
  • Familiarity with version control systems (e.g., Git) and CI/CD pipelines.
  • Experience with containerization technologies (Docker, Kubernetes) is a plus.
  • Good communication skills and ability to work collaboratively in a cross-functional team.
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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