Remote Manual QA Tester SAS & Python
@ Lensa

Hybrid
$80,000
Hybrid
Full Time
Posted 6 hours ago

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XXXXXXXXXX XXXXXXXXX XXXXXXX******* @insightglobal.com
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Job Details

Job Overview

Lensa is promoting this role for Insight Global. A healthcare insurance provider seeks a Remote Manual QA Tester SAS & Python to support a critical data migration initiative by comparing and validating SAS code running in Teradata against Python code deployed in Google Cloud Platform (GCP).

Key Responsibilities

  • Manually execute and validate test cases for SAS and Python code.
  • Compare outputs between legacy Teradata systems and new GCP deployments.
  • Document discrepancies and testing results precisely.
  • Suggest and potentially implement automation improvements.
  • Collaborate with data engineers and stakeholders.

Required Skills

  • Expertise in SAS and Python testing environments.
  • Strong understanding of data migration and transformation processes.
  • Experience with SQL and large dataset validation.
  • Healthcare domain experience is a plus.

Equal Opportunity Employer

Lensa and Insight Global value diversity and inclusion. All qualified candidates are encouraged to apply without regard to any protected characteristics. For application accommodations, please contact HR at HR@insightglobal.com.

Key skills/competency

  • Manual Testing
  • SAS
  • Python
  • Teradata
  • GCP
  • Data Migration
  • SQL
  • Automation
  • Testing Accuracy
  • Healthcare
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How to Get Hired at Lensa

🎯 Tips for Getting Hired

  • Research Lensa: Understand their platform and partner network.
  • Customize your resume: Highlight SAS, Python, and testing skills.
  • Emphasize data migration: Focus on technical and healthcare experience.
  • Prepare examples: Share manual testing and automation ideas.

📝 Interview Preparation Advice

Technical Preparation

Review SAS code and Teradata queries.
Study Python deployment in GCP.
Practice manual testing techniques.
Brush up on SQL data validation skills.

Behavioral Questions

Describe past data migration challenges.
Explain manual testing accuracy practices.
Share how you propose automation improvements.
Discuss collaboration with technical teams.

Frequently Asked Questions