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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.
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.
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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...

Senior Data Engineer

Salary undisclosed
Checking job availability...
Original
Simplified

Position : Senior Data Engineer
Location: Salt Lake City- MUST be onsite
Contract: 12+ Months

Job Description:
Your future duties and responsibilities
How you'll make an impact
Play key role in establishing and implementing migration patterns for the Data Lake Modernization project

Actively migrate use cases from our on-premises Data Lake to Databricks on Google Cloud Platform

Collaborate with Product Management and business partners to understand case requirements and reporting

Adhere to internal development best practices/lifecycle (e.g. Testing, Code Reviews, CI/CD, Documentation)

Document and showcase feature designs/workflows

Participate in team meetings and discussions around product development

Stay up to date on industry latest industry trends and design patterns

Required qualifications to be successful in this role
What you'll bring
6+ years development experience with Spark (PySpark), Python and SQL

Extensive knowledge building data pipelines

Hands on experience with Databricks Development

Strong experience developing on Linux OS

Experience with scheduling and orchestration (e.g. Databricks Workflows, airflow, prefect, control-m)

Solid understanding of distributed systems, data structures, design principles

Comfortable communicating with teams via showcases/demos

Agile Development Methodologies (e.g. SAFe, Kanban, Scrum)

Bachelor's in Computer Science, Computer Engineering or related field

Desired qualifications (Nice to Have):

3+ years experience with GIT

3+ years experience with CI/CD (e.g. Azure Pipelines)

Experience with streaming technologies, such as Kafka, Spark

Experience building applications on Docker and Kubernetes

Cloud experience (e.g. Azure, Google)

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

Position : Senior Data Engineer
Location: Salt Lake City- MUST be onsite
Contract: 12+ Months

Job Description:
Your future duties and responsibilities
How you'll make an impact
Play key role in establishing and implementing migration patterns for the Data Lake Modernization project

Actively migrate use cases from our on-premises Data Lake to Databricks on Google Cloud Platform

Collaborate with Product Management and business partners to understand case requirements and reporting

Adhere to internal development best practices/lifecycle (e.g. Testing, Code Reviews, CI/CD, Documentation)

Document and showcase feature designs/workflows

Participate in team meetings and discussions around product development

Stay up to date on industry latest industry trends and design patterns

Required qualifications to be successful in this role
What you'll bring
6+ years development experience with Spark (PySpark), Python and SQL

Extensive knowledge building data pipelines

Hands on experience with Databricks Development

Strong experience developing on Linux OS

Experience with scheduling and orchestration (e.g. Databricks Workflows, airflow, prefect, control-m)

Solid understanding of distributed systems, data structures, design principles

Comfortable communicating with teams via showcases/demos

Agile Development Methodologies (e.g. SAFe, Kanban, Scrum)

Bachelor's in Computer Science, Computer Engineering or related field

Desired qualifications (Nice to Have):

3+ years experience with GIT

3+ years experience with CI/CD (e.g. Azure Pipelines)

Experience with streaming technologies, such as Kafka, Spark

Experience building applications on Docker and Kubernetes

Cloud experience (e.g. Azure, Google)

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