Data Quality and Governance Engineer

About the role

As part of McCain’s digital transformation journey, this role will lead data quality and governance initiatives, implement metadata management and cataloging practices, and support the deployment of governance tools and policies. By partnering with business and technical stakeholders, the Data Quality and Governance Engineer helps enable reliable, compliant, and business-ready data that supports operational excellence and strategic decision-making.

What you'll do

• Establish and maintain enterprise data quality frameworks, standards, and controls focused on accuracy, completeness, consistency, timeliness, and validity
• Perform data profiling, validation, monitoring, and cleansing activities using data quality and governance tools
• Conduct root cause analysis and coordinate remediation efforts for identified data quality issues
• Define and monitor data quality metrics, KPIs, validation rules, and compliance requirements in partnership with business and technical stakeholders
• Manage and maintain enterprise metadata, data catalog, and data lineage documentation across platforms and domains

What you need

• 4–7 yrs of experience
• SQL
• Python
• AWS
• Informatica
• Databricks
• Snowflake
• B.Tech or B.E. or BBA

Good to have

• Machine learning
• Root cause analysis