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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.
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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...

ETL Data Engineer

Salary undisclosed
Checking job availability...
Original
Simplified

NOTES:

Strong ETL, DBT, Snowflake and SQL

Must have re/insurance/P&C experience

The ETL Data Engineer is mainly responsible for transforming replicated source data into data products that are easily consumed by the Reporting team and other downstream users. The role requires an expertise in Data Modeling and Data Pipeline development within an Analytical, column-oriented data store. This role reports to their Data Engineering & ETL Lead.

Responsibilities & Accountabilities:

  • Translate requirements and data mapping documents into a technical design.
  • SQL development using Data Built Tool (DBT) framework
  • Python knowledge for Data Built Tool (DBT) macros and data pipelines.
  • Debug and troubleshoot issues found during testing or production.
  • Communicate project status, issues, and blockers with the team.
  • Contribute to continuous improvement by identifying and addressing opportunities.

Ideal Candidate Profile:

  • Bachelor’s degree in computer science or equivalent required.
  • Minimum of 5 years of experience in ETL development within a Data Warehouse.
  • Minimum of 5 years working with Dimensional Data Modeling, such as Kimball, Data Vault, or Medallion Architecture.
  • Strong familiarity with Data Built Tool (DBT).
  • Expertise in column-oriented SQL modelling.
  • Experience in P&C Insurance or Financial Services Industry is a plus.
  • Strong understanding of test-driven development applied to Enterprise Data
  • Highly comfortable with git and change management best practices

NOTES:

Strong ETL, DBT, Snowflake and SQL

Must have re/insurance/P&C experience

The ETL Data Engineer is mainly responsible for transforming replicated source data into data products that are easily consumed by the Reporting team and other downstream users. The role requires an expertise in Data Modeling and Data Pipeline development within an Analytical, column-oriented data store. This role reports to their Data Engineering & ETL Lead.

Responsibilities & Accountabilities:

  • Translate requirements and data mapping documents into a technical design.
  • SQL development using Data Built Tool (DBT) framework
  • Python knowledge for Data Built Tool (DBT) macros and data pipelines.
  • Debug and troubleshoot issues found during testing or production.
  • Communicate project status, issues, and blockers with the team.
  • Contribute to continuous improvement by identifying and addressing opportunities.

Ideal Candidate Profile:

  • Bachelor’s degree in computer science or equivalent required.
  • Minimum of 5 years of experience in ETL development within a Data Warehouse.
  • Minimum of 5 years working with Dimensional Data Modeling, such as Kimball, Data Vault, or Medallion Architecture.
  • Strong familiarity with Data Built Tool (DBT).
  • Expertise in column-oriented SQL modelling.
  • Experience in P&C Insurance or Financial Services Industry is a plus.
  • Strong understanding of test-driven development applied to Enterprise Data
  • Highly comfortable with git and change management best practices