Epicareer Might not Working Properly
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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.
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
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Jobs or company...

Senior Data Engineer

Salary undisclosed

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At PwC, we specialize in providing cutting-edge data solutions that drive business success. We partner with clients across diverse industries to understand their data needs, design robust data architectures, and implement scalable data solutions. Our team is dedicated to solving complex data challenges and delivering strategic solutions that align with our clients' goals.

As a Data Engineer, you will be responsible for designing, developing, and managing data architecture and pipelines. You will collaborate with solution architect, devops engineer, data scientist, and other stakeholders to create reliable and efficient data systems using cutting-edge technologies such as GenAI, Machine Learning, etc.

In this role, you will also get the opportunity to enhance your expertise across a broad spectrum of data-related disciplines such as data governance, data strategies, data science, and project management.

Key Responsibilities

  • Design, implement, and maintain scalable data pipelines to import, process, and integrate data from various sources.
  • Build and optimize data warehousing solutions to support business intelligence and analytics needs.
  • Develop and manage ETL processes to ensure timely and accurate data transformation and loading.
  • Monitor and enhance data quality, implementing data validation and cleansing processes to ensure accuracy and consistency.
  • Partner with solution architect, business analyst, devops engineer, data scientist, and other stakeholders to understand data requirements and provide technical solutions.
  • Tune and optimize data processing and query performance to handle large datasets efficiently.
  • Create and maintain comprehensive documentation for data pipelines, processes, and systems.
  • Stay current with industry trends and emerging technologies to continuously improve data engineering practices.

Experience And Qualifications

  • Bachelor’s Degree in Computer Science, Information Technology, Engineering or a similar field.
  • Minimum 2-3 years of experience as a Data Engineer or in a related role, with a proven track record in data pipeline development and data management.
  • Proficient in cloud platforms (e.g. AWS Glue, AWS Lambda, AWS Redshift, Azure Data Factory, Databricks, Synapse Analytic and BI tools like SSIS, SSAS).
  • Strong programming skills in Python, Java, or Scala. Experience with data processing frameworks and libraries.
  • Familiarity with ETL tools, data warehousing solutions, and data visualization tools is advantageous.
  • Knowledge of containerization and orchestration tools (e.g., Docker, Kubernetes).
  • Excellent analytical and troubleshooting skills with the ability to resolve complex data-related issues.
  • Strong verbal and written communication skills. Ability to work effectively with cross-functional teams.
  • Understanding of data governance, data privacy, and security best practices.
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