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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.
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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...

IT Data Quality Control (QC)

Salary undisclosed
Checking job availability...
Original
Simplified

Key Responsibilities:

Review and validate scraped data to ensure accuracy, completeness, and consistency.

Identify and flag data anomalies, duplicates, and errors, implementing corrective

measures where necessary.

Develop and execute data quality control processes, including automated and manual

checks.

Work closely with Data Engineers and Analysts to refine scraping strategies and improve

data extraction methodologies.

Perform data sanity checks to verify data integrity before it is used for business analysis.

Maintain detailed documentation of data validation procedures, quality issues, and

resolutions.

Utilize SQL (BigQuery)to analyze datasets and detect potential inconsistencies.

Design and implement data cleaning workflows to enhance dataset reliability.

Ensure compliance with data governance and quality assurance best practices.

Qualifications:

Bachelor’s degree in Computer Science, Statistics, Information Systems, or a related field.

Minimum 2+ years of experience in data quality control, data validation, or a similar role.

Strong proficiency in SQL for data querying and validation especially in BigQuery.

Proficiency in Python, with experience using data analysis libraries such as Pandas and

NumPy.

Familiarity with web scraping methodologies and tools is a plus.

Understanding of data governance principles and best practices for data management.

Strong analytical and problem-solving skills, with the ability to detect and resolve data

inconsistencies.

Attention to detail and a methodical approach to data quality control.

Nice to Have:

Experience working with data scraping projects and handling large-scale scraped

datasets.

Familiarity with ETL pipelines and data transformation processes.

Knowledge of cloud platforms like AWS, Google Cloud, or Azure.

Experience with automation tools for data validation and quality checks.

Key Responsibilities:

● Review and validate scraped data to ensure accuracy, completeness, and consistency.

● Identify and flag data anomalies, duplicates, and errors, implementing corrective

measures where necessary.

● Develop and execute data quality control processes, including automated and manual

checks.

● Work closely with Data Engineers and Analysts to refine scraping strategies and improve

data extraction methodologies.

● Perform data sanity checks to verify data integrity before it is used for business analysis.

● Maintain detailed documentation of data validation procedures, quality issues, and

resolutions.

● Utilize SQL (BigQuery)to analyze datasets and detect potential inconsistencies.

● Design and implement data cleaning workflows to enhance dataset reliability.

● Ensure compliance with data governance and quality assurance best practices.

Qualifications:

● Bachelor’s degree in Computer Science, Statistics, Information Systems, or a related field.

● Minimum 2+ years of experience in data quality control, data validation, or a similar role.

● Strong proficiency in SQL for data querying and validation especially in BigQuery.

● Proficiency in Python, with experience using data analysis libraries such as Pandas and

NumPy.

● Familiarity with web scraping methodologies and tools is a plus.

● Understanding of data governance principles and best practices for data management.

● Strong analytical and problem-solving skills, with the ability to detect and resolve data

inconsistencies.

● Attention to detail and a methodical approach to data quality control.

Nice to Have:

● Experience working with data scraping projects and handling large-scale scraped

datasets.

● Familiarity with ETL pipelines and data transformation processes.

● Knowledge of cloud platforms like AWS, Google Cloud, or Azure.

● Experience with automation tools for data validation and quality checks.