Data Quality Engineer

Open Insights, LLC; India; On-site; INR 1,000,000 - 1,500,000; Full time

Job summary

A data solutions company is seeking a Data Quality Engineer to ensure the reliability and accuracy of data products. This role focuses on building automated quality frameworks, defining data quality rules, and driving continuous improvement in data quality. The ideal candidate will have 4–8 years of experience in data quality engineering, expertise in automated validation checks, and a strong understanding of data pipelines and testing tools. Join us to enhance data trustworthiness and operational efficiency.

Qualifications

• 4–8+ years in data quality engineering or related roles.
• Experience building automated data quality frameworks.
• Familiarity with modern data testing and observability tools.

Responsibilities

• Define and implement data quality rules.
• Build automated validation checks and monitoring systems.
• Develop dashboards to track data quality metrics.
• Partner to define SLAs and resolve data issues.
• Conduct root-cause analysis and implement preventive measures.
• Manage data quality issue tracking workflows.

Skills

Data quality engineering

Automated validation checks

Data pipeline understanding

Observability tools

Job description

We are seeking a Data Quality Engineer to ensure the reliability, accuracy, and trustworthiness of data products. This role focuses on building automated quality frameworks and driving continuous improvement in data quality.

Responsibilities

• Define and implement data quality rules (completeness, consistency, accuracy, timeliness)
• Build automated validation checks, monitoring systems, and alerting mechanisms.
• Develop dashboards and scorecards to track data quality metrics.
• Partner with teams to define SLAs and resolve data issues.
• Conduct root‑cause analysis and implement preventive measures
• Manage data quality issue tracking and remediation workflows.

Required Experience

• 4–8+ years in data quality engineering or related roles.
• Experience building automated data quality frameworks.
• Familiarity with modern data testing and observability tools.
• Strong understanding of data pipelines and validation techniques.