Epicareer Might not Working Properly
Learn More
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.
Visit Site here
  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.
Visit Site here
  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).
Visit Site here
Any Question? Contact us
logo
Jobs or company...

Data warehouse Architect

Salary undisclosed

Apply on

Dice
Original
Simplified

Required Skills and Qualifications:

  • 15+ years of experience in data warehousing and data architecture.
  • Extensive experience in data mining, large scale data modeling, data profiling, and data mapping.
  • Experience with Azure Cloud, Azure Data Factory, and Data Bricks.
  • Experience with different database platforms and services like SOAP, REST, etc.
  • Strong experience with Oracle, DataStage, and IBM Integration Bus (IIB) for data integration and ETL.
  • Solid experience with data management and governance tools like IBM Information Governance Catalog (IGC), Information Knowledge Catalog (IKC), or Collibra.
  • Expertise with modern cloud data warehouse platforms such as Azure Synapse or Snowflake.
  • Experience in defining and implementing data governance frameworks and ensuring data quality management.
  • Proven experience in designing and implementing scalable data warehouse solutions and strategies.
  • Understanding of ETL processes, data integration strategies, and data migration in both on-premise and cloud environments.
  • Familiarity with data modeling, data lakes, and big data technologies.
  • Strong analytical and problem-solving skills with the ability to balance competing priorities.
  • Experience working in collaboration with Enterprise Architecture teams to create strategic roadmaps for data platforms.
  • Excellent communication and stakeholder management skills, with the ability to work cross-functionally across teams.
  • Advanced skills in Data Warehousing, Data Analytics and Data Architecture
  • Strong Background in data governance, data quality, data lineage and enterprise master data management
  • Experience working with Oracle PL/SQL and SQL Server Database Developement.
  • Written and oral communications
  • Familiarity with data modeling, data lakes, and big data technologies.
  • Expertise with modern cloud data warehouse platforms such as Azure Synapse or Snowflake.
  • Strong Experience with other data integration tools and techniques including IBM DataStage, IBM IKC or Collibra
  • Experience to use Snowflake
  • Experience with Automation and AI in Data Warehousing
  • Knowledge of big data tools like Hadoop, Spark, and Kafka.
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
Similar Jobs