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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...

Data & Quality Assurance Engineer Executive

$ 3,500 - $ 6,500 / month
Checking job availability...
Original
Simplified

(JR109554)

We are looking for a Data & Quality Assurance Engineer who will play a hybrid role in data analytics, software testing, and documentation management. This role is ideal for someone with a strong analytical mindset, attention to detail, and technical expertise in both data science and software testing. You will ensure data accuracy, optimize testing processes, and maintain high-quality documentation to support product development and business decisions.

Key Responsibilities

1. Data Analytics & Data Science

  • Analyze and interpret large datasets to extract meaningful insights and support business decisions.
  • Develop data models, machine learning algorithms, and predictive analytics solutions.
  • Design and implement ETL (Extract, Transform, Load) pipelines for data processing.
  • Collaborate with stakeholders to define data-driven strategies and improve decision-making.
  • Utilize SQL, Python, or R for data analysis, visualization, and automation.

2. Software Testing & Quality Assurance

  • Develop and execute test strategies for data-driven applications, APIs, and software systems.
  • Perform functional, regression, performance, and automated testing.
  • Identify, document, and track bugs to resolution using test management tools (Jira, TestRail, etc.).
  • Implement automation frameworks to improve efficiency in software testing.
  • Ensure data accuracy and integrity in software outputs and reports.

3. Documentation & Process Management

  • Maintain clear and comprehensive documentation for data models, testing processes, and technical workflows.
  • Create test plans, test cases, and user guides to ensure product quality and knowledge transfer.
  • Document best practices for data governance, security, and compliance.
  • Support cross-functional teams with well-structured reports and documentation.

Qualifications & Skills

  • Bachelor’s or Master’s degree in Computer Science, Data Science, Software Engineering, or a related field.
  • Strong experience in SQL, Python, and data visualization tools (Tableau, Power BI, Matplotlib, etc.).
  • Hands-on experience with software testing methodologies, test automation, and defect tracking.
  • Knowledge of machine learning frameworks (Scikit-learn, TensorFlow, PyTorch) is a plus.
  • Experience with version control (Git) and Agile methodologies.
  • Excellent analytical, problem-solving, and communication skills.
  • Strong documentation skills with experience in Confluence, Markdown, or technical writing tools.

Preferred Qualifications

  • Experience in cloud platforms (AWS, Azure, GCP) for data processing and model deployment.
  • Familiarity with CI/CD pipelines and DevOps tools for software testing.
  • Exposure to API testing tools such as Postman or RestAssured.

(JR109554)

We are looking for a Data & Quality Assurance Engineer who will play a hybrid role in data analytics, software testing, and documentation management. This role is ideal for someone with a strong analytical mindset, attention to detail, and technical expertise in both data science and software testing. You will ensure data accuracy, optimize testing processes, and maintain high-quality documentation to support product development and business decisions.

Key Responsibilities

1. Data Analytics & Data Science

  • Analyze and interpret large datasets to extract meaningful insights and support business decisions.
  • Develop data models, machine learning algorithms, and predictive analytics solutions.
  • Design and implement ETL (Extract, Transform, Load) pipelines for data processing.
  • Collaborate with stakeholders to define data-driven strategies and improve decision-making.
  • Utilize SQL, Python, or R for data analysis, visualization, and automation.

2. Software Testing & Quality Assurance

  • Develop and execute test strategies for data-driven applications, APIs, and software systems.
  • Perform functional, regression, performance, and automated testing.
  • Identify, document, and track bugs to resolution using test management tools (Jira, TestRail, etc.).
  • Implement automation frameworks to improve efficiency in software testing.
  • Ensure data accuracy and integrity in software outputs and reports.

3. Documentation & Process Management

  • Maintain clear and comprehensive documentation for data models, testing processes, and technical workflows.
  • Create test plans, test cases, and user guides to ensure product quality and knowledge transfer.
  • Document best practices for data governance, security, and compliance.
  • Support cross-functional teams with well-structured reports and documentation.

Qualifications & Skills

  • Bachelor’s or Master’s degree in Computer Science, Data Science, Software Engineering, or a related field.
  • Strong experience in SQL, Python, and data visualization tools (Tableau, Power BI, Matplotlib, etc.).
  • Hands-on experience with software testing methodologies, test automation, and defect tracking.
  • Knowledge of machine learning frameworks (Scikit-learn, TensorFlow, PyTorch) is a plus.
  • Experience with version control (Git) and Agile methodologies.
  • Excellent analytical, problem-solving, and communication skills.
  • Strong documentation skills with experience in Confluence, Markdown, or technical writing tools.

Preferred Qualifications

  • Experience in cloud platforms (AWS, Azure, GCP) for data processing and model deployment.
  • Familiarity with CI/CD pipelines and DevOps tools for software testing.
  • Exposure to API testing tools such as Postman or RestAssured.