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 Quality engineer (QE)

  • Full Time, onsite
  • Envision Technology Solutions
  • New York, United States of America
Salary undisclosed
Checking job availability...
Original
Simplified

Dear Applicant,

Please let me know if you are interested.

Job Title: Data QE

Location: Tampa, FL & NY – (Hybrid – 3 days a week in office)

Hire Type: Duration: Full-time

Options (Either of the below 3 should ideally work)

  1. ETL Testers with Prog lang (Java/Python)
  2. Data Analyst who is ready to work on QE side with Java/Python
  3. Data Engineers – Who is ready to do QE role with Java/Python
  4. SQL query writing & programming (Java/Python)
  5. Java/Python plays a role towards Automation routines. Not really a developer level knowledge.

Requirement:

  • Overall Experience required minimum 8+ Years

Job Description

  • Candidate should be able to carry out the job below and have 3+ years of experience in below technical skills.

Technical skills - 1. ETL Data warehousing 2. Advanced SQL 3. Programming (Python/Java) 4. Agile methodologies

  • Design and Develop Automated Data Quality Tests:
  • Create and maintain automated test scripts and frameworks for data quality validation using tools like Python, SQL, and data quality testing frameworks.
  • Develop data profiling and validation rules to identify data anomalies and inconsistencies.
  • Build and maintain test data sets for various testing scenarios.
  • Implement Data Quality Monitoring and Alerting:
  • Integrate automated data quality tests into CI/CD pipelines for continuous testing.
  • Set up data quality monitoring dashboards and alerts to proactively identify data issues.
  • Develop and maintain data quality reports and metrics.
  • Collaborate and Improve Data Quality Processes:
  • Work closely with data engineers and product owners to understand data pipelines and requirements.
  • Participate in code reviews and contribute to the development of data quality best practices.
  • Identify and recommend improvements to data quality processes and tools.
  • Investigate and resolve data quality issues, working with relevant teams to implement corrective actions.
  • Data Governance and Compliance:
  • Ensure data quality testing aligns with data governance policies and regulatory requirements.
  • Contribute to the development and maintenance of data quality documentation.

    • Dear Applicant,

    Please let me know if you are interested.

    Job Title: Data QE

    Location: Tampa, FL & NY – (Hybrid – 3 days a week in office)

    Hire Type: Duration: Full-time

    Options (Either of the below 3 should ideally work)

    1. ETL Testers with Prog lang (Java/Python)
    2. Data Analyst who is ready to work on QE side with Java/Python
    3. Data Engineers – Who is ready to do QE role with Java/Python
    4. SQL query writing & programming (Java/Python)
    5. Java/Python plays a role towards Automation routines. Not really a developer level knowledge.

    Requirement:

    • Overall Experience required minimum 8+ Years

    Job Description

    • Candidate should be able to carry out the job below and have 3+ years of experience in below technical skills.

    Technical skills - 1. ETL Data warehousing 2. Advanced SQL 3. Programming (Python/Java) 4. Agile methodologies

    • Design and Develop Automated Data Quality Tests:
    • Create and maintain automated test scripts and frameworks for data quality validation using tools like Python, SQL, and data quality testing frameworks.
    • Develop data profiling and validation rules to identify data anomalies and inconsistencies.
    • Build and maintain test data sets for various testing scenarios.
    • Implement Data Quality Monitoring and Alerting:
    • Integrate automated data quality tests into CI/CD pipelines for continuous testing.
    • Set up data quality monitoring dashboards and alerts to proactively identify data issues.
    • Develop and maintain data quality reports and metrics.
    • Collaborate and Improve Data Quality Processes:
    • Work closely with data engineers and product owners to understand data pipelines and requirements.
    • Participate in code reviews and contribute to the development of data quality best practices.
    • Identify and recommend improvements to data quality processes and tools.
    • Investigate and resolve data quality issues, working with relevant teams to implement corrective actions.
    • Data Governance and Compliance:
    • Ensure data quality testing aligns with data governance policies and regulatory requirements.
    • Contribute to the development and maintenance of data quality documentation.