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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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  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.
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  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.
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  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...

Lead Data Engineer

Salary undisclosed
Checking job availability...
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Support Engagement Lead Data Platform (Azure & Databricks)

Role Overview:

We are seeking a strong Data Engineering Lead with support engagement experience to manage and enhance a Data Platform built on Azure and Databricks. This role requires a hands-on leader who can stabilize, optimize, and mature platform operations through structured processes and automation.

Key Responsibilities:

  • Incident & Communication Management Ensure quick resolution, RCA, and transparent stakeholder updates.
  • Proactive Monitoring & Optimization Improve performance, cost, and reliability.
  • Data Quality & Governance Enforce data integrity, lineage, and compliance.
  • Change & Release Management Streamline deployments and minimize disruptions.
  • Reporting & Continuous Improvement Track KPIs, resolve recurring issues, and drive efficiency.
  • Knowledge Management Maintain documentation, SOPs, and training for seamless operations.
  • Automation & Monitoring Implement self-healing mechanisms and reduce manual overhead.

Qualifications:

  • 8+ years in data engineering & platform support, with expertise in Azure & Databricks.
  • Strong knowledge of incident management, performance tuning, and data governance.
  • Hands-on experience with SQL, Python, Spark, and CI/CD pipelines.
  • Familiarity with monitoring tools (Azure Monitor etc.) and automation frameworks.
  • Excellent communication and stakeholder management skills.
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.
Report this job

Support Engagement Lead Data Platform (Azure & Databricks)

Role Overview:

We are seeking a strong Data Engineering Lead with support engagement experience to manage and enhance a Data Platform built on Azure and Databricks. This role requires a hands-on leader who can stabilize, optimize, and mature platform operations through structured processes and automation.

Key Responsibilities:

  • Incident & Communication Management Ensure quick resolution, RCA, and transparent stakeholder updates.
  • Proactive Monitoring & Optimization Improve performance, cost, and reliability.
  • Data Quality & Governance Enforce data integrity, lineage, and compliance.
  • Change & Release Management Streamline deployments and minimize disruptions.
  • Reporting & Continuous Improvement Track KPIs, resolve recurring issues, and drive efficiency.
  • Knowledge Management Maintain documentation, SOPs, and training for seamless operations.
  • Automation & Monitoring Implement self-healing mechanisms and reduce manual overhead.

Qualifications:

  • 8+ years in data engineering & platform support, with expertise in Azure & Databricks.
  • Strong knowledge of incident management, performance tuning, and data governance.
  • Hands-on experience with SQL, Python, Spark, and CI/CD pipelines.
  • Familiarity with monitoring tools (Azure Monitor etc.) and automation frameworks.
  • Excellent communication and stakeholder management skills.
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.
Report this job