Bachelor's degree * 5+ years of ETL testing experience in data warehouse environment * 3+ years of ... Remote roles will also have the opportunity to come together in our offices for moments that matter.
Bachelor's degree * 5+ years of ETL testing experience in data warehouse environment * 3+ years of ... Remote roles will also have the opportunity to come together in our offices for moments that matter.
Remote Data Extraction information
What are the key skills and qualifications needed to thrive as a Remote Data Extraction Specialist, and why are they important?
To thrive as a Remote Data Extraction Specialist, you need proficiency in data analysis, attention to detail, and experience with data extraction and transformation techniques, often supported by a degree in computer science, information systems, or a related field. Familiarity with tools such as SQL, Python, web scraping frameworks (like BeautifulSoup or Scrapy), and data management platforms is typically required. Strong problem-solving skills, self-motivation, and effective communication are valuable soft skills for excelling in a remote environment. These abilities ensure accurate data collection, efficient workflow, and reliable delivery of insights for business or research needs.
What are some common challenges faced in a remote data extraction role and how can they be addressed?
One common challenge in remote data extraction is ensuring data accuracy while working independently, especially when dealing with large and diverse datasets. Discrepancies can arise from inconsistent data formats or sources, so developing strong attention to detail and utilizing reliable extraction tools is critical. Another challenge is communication, as collaborating with data analysts or project managers remotely requires proactive updates and clear documentation. To address these issues, it's helpful to establish regular check-ins with your team, use standardized data templates, and stay organized with project management software.
What is remote data extraction?
Remote data extraction is the process of retrieving and collecting data from various sources—such as websites, databases, or documents—without being physically present at the source location. This is typically achieved using specialized software, scripts, or tools that can access and gather data over the internet or through remote connections. Professionals in this field often automate data collection tasks to save time and improve accuracy, especially when dealing with large volumes of information. Remote data extraction is commonly used for business intelligence, market research, competitive analysis, and data migration projects.
What is the difference between Remote Data Extraction vs Remote Data Entry?
| Aspect | Remote Data Extraction | Remote Data Entry |
|---|---|---|
| Primary Focus | Extracting data from various sources like websites, PDFs, or images | Inputting data into databases or spreadsheets |
| Skills Required | Web scraping, data analysis, attention to detail | Typing speed, accuracy, basic computer skills |
| Tools Used | Web scraping software, OCR tools, data management platforms | Excel, Google Sheets, data entry software |
| Work Environment | Mostly independent, often project-based | Consistent, repetitive tasks |
Remote Data Extraction involves retrieving data from various sources, requiring technical skills like web scraping and data analysis. Remote Data Entry focuses on inputting data accurately into systems, emphasizing speed and precision. Both roles are remote-friendly but differ in technical complexity and daily tasks.
What cities near Chillicothe, OH are hiring for Remote Data Extraction jobs? Cities near Chillicothe, OH with the most Remote Data Extraction job openings:
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Job description
QA Test Automation Lead
Huntington Bank is looking for a QA Test Automation Lead in our Data Lake and Data Warehouse team. In this role you will be part of a team working to develop solutions enabling the business to leverage data as an asset at the bank. As a QA Test Automation Lead, you will work to develop automation test strategies and frameworks ensuring all IT SDLC processes are documented and practiced, working closely with multiple technologies teams across the enterprise. Key technologies include Azure DevOps, Python, AWS S3, Snowflake, Zena, and DataStage.
If you consider data as a strategic asset, evangelize the value of good data and insights, have a passion for learning and continuous improvement, this role is for you.
Responsibilities:
- Lead quality assurance efforts for multiple concurrent projects focused on data ingestion and integration, ensuring alignment with banking regulatory standards.
- Design, implement, and maintain automated testing frameworks and CI/CD pipelines to support scalable and secure data operations.
- Develop and execute comprehensive test strategies covering System Integration Testing (SIT) and closely partner with the team for User Acceptance Testing (UAT).
- Collaborate with data engineers, developers, project managers, and compliance teams to ensure data quality, integrity, and traceability throughout the ingestion lifecycle.
- Drive continuous improvement in QA processes
- Design and implement a scalable test automation framework and strategy.
- Create daily/weekly test execution metrics and status reporting.
- Assist the Project Managers/Scrum Masters to drive project team to defect resolution.
- Leverage existing tools/techniques to streamline and automate wherever possible.
- Actively participate in walk-through, inspection, review and user group meetings for quality assurance.
- Actively participate in the review of project requirements, data mappings and technical design specifications.
- Analyze data, troubleshoot data issues, and create action plans to address data quality issues.
- Collaborate with project team on defect analysis and triage.
- Participate in production implementation verification and being accountable for validating system quality
Basic Qualifications:
- Bachelor's degree
- 5+ years of ETL testing experience in data warehouse environment
- 3+ years of test automation experience
- 2+ years of experience with Snowflake and AWS
- 2+ Experience leading QA Analysts on a project team
Preferred Qualifications:
- Experience in financial services (banking) industry.
- Strong experience with SQL, ETL testing, and data warehouse concepts (e.g., star/snowflake schema, OLAP)
- Proficiency in test automation tools such as Cucumber, Selenium, PyTest, or DBT tests.
- Experience with cloud data platforms (Snowflake, AWS).
- Familiarity with CI/CD tools (Azure DevOps).
- Excellent verbal and written communications skills.
- Ability to effectively prioritize and execute tasks.
- Detail oriented and highly motivated with strong organizational, analytical and problem-solving skills.
Exempt Status: Yes (not eligible for overtime pay)
Workplace Type: Office
Our Approach to Office Workplace Type
Certain positions outside our branch network may be eligible for a flexible work arrangement. We're combining the best of both worlds: in-office and work from home. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. Remote roles will also have the opportunity to come together in our offices for moments that matter. Specific work arrangements will be provided by the hiring team.
Huntington is an Equal Opportunity Employer.
Tobacco-Free Hiring Practice: Visit Huntington's Career Web Site for more details.
Note to Agency Recruiters: Huntington Bank will not pay a fee for any placement resulting from the receipt of an unsolicited resume. All unsolicited resumes sent to any Huntington Bank colleagues, directly or indirectly, will be considered Huntington Bank property. Recruiting agencies must have a valid, written and fully executed Master Service Agreement and Statement of Work for consideration.