Lead Data QA Engineer

OnPoint Insights

The Lead Data QA Engineer position at OnPoint Insights offers a unique blend of leadership and technical work in data quality assurance.

Last checked on May 15, 2026. We may earn a commission when you click through.

If you're passionate about data quality and analytics, this position could be a significant career move.

✓ Strong leadership role ✓ Hands-on technical involvement ✓ Impact on data quality standards

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Lead Data QA Engineer

OnPoint Insights

Updated 2 months ago

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Ahmedabad

If you're passionate about data quality and analytics, this position could be a significant career move.

About this role

The Lead Data QA Engineer position at OnPoint Insights offers a unique blend of leadership and technical work in data quality assurance.

About the Company

OnPoint Insights specializes in data analytics and insights, aiming to enhance decision-making through quality data processes.

Key Highlights

✓ Lead technical strategies for QA in data initiatives
✓ Hands-on programming experience required
✓ Design and implement testing processes
✓ Opportunity to shape data quality standards

💡 Honest Take: This role is a great fit for someone looking to blend leadership with technical skills in a growing field.

Pros

✓ Strong leadership role
✓ Hands-on technical involvement
✓ Impact on data quality standards
✓ Dynamic work environment

Cons

✗ May require long hours
✗ Limited remote options
✗ High responsibility and expectations

Best For: Perfect for professionals who thrive in technical leadership roles within analytics.

Watch Out: Expect significant responsibility and the potential for high-pressure situations.

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What Customers Say

Workers appreciate the dynamic environment but note the challenges of high expectations and limited remote work options.

Expert Review

This position at OnPoint Insights requires a unique combination of leadership and technical skills. Candidates should be prepared to drive the testing strategy for data initiatives, which is crucial for maintaining high data quality standards. The role involves not just oversight but also active participation in programming and process design.

While this opportunity offers the chance to shape the analytics landscape, it demands a commitment to managing both team dynamics and technical challenges. The company is looking for someone who can navigate a non-remote work environment, which may not suit everyone.

For those willing to embrace these challenges, the rewards can be significant. Successful candidates will have the opportunity to influence data quality across multiple projects, making a real impact on the company's analytics capabilities. According to the official listing, this role is suited for lead-level professionals who enjoy both strategizing and hands-on work in data quality assurance.