Data Quality And Governance Engineer

McCain Foods; Gurgaon; Hybrid; INR 1,400,000 - 2,000,000; Full time

Job summary

McCain Foods India is seeking a Data Quality and Governance Engineer to strengthen enterprise data foundations by ensuring accuracy, trust, and governance across data assets. You will lead data quality initiatives, metadata management, and the deployment of governance tools in a collaborative, fast-paced environment.

You will work with data engineers, architects, and business teams to capture data flows and lineage, define KPIs, and drive adoption of governance practices.

Qualifications

• Bachelor’s degree in MIS, Engineering, Mathematics, CS, IT or related field.
• Minimum 4 years in data governance, data management, or data engineering.
• Strong understanding of metadata, data lineage, data classification, and governance best practices.
• Proficiency in SQL and/or Python for profiling, validation, analysis, and troubleshooting.
• Experience collaborating with business stakeholders, data owners, data stewards, IT, and cross-functional partners.
• Hands-on experience with data governance/quality platforms like Ataccama, Syniti, Collibra, Purview, Informatica, or Alation.
• Experience with modern cloud data platforms such as Databricks, Snowflake, AWS, or similar.

Responsibilities

• Establish and maintain enterprise data quality frameworks, standards, and controls.
• Perform data profiling, validation, monitoring, and cleansing activities.
• Leverage AI-enabled capabilities to improve data governance and quality.
• Conduct root cause analysis and coordinate remediation for data quality issues.
• Define and monitor data quality metrics, KPIs, validation rules, and compliance requirements.
• Document business rules, definitions, and exception management for critical data assets.
• Manage and maintain metadata, data catalog, and data lineage across platforms.

Skills

SQL

Python

Data profiling

Data governance

Stakeholder collaboration

AI-enabled governance

Education

Bachelor’s degree in MIS/Engineering/CS/IT

Tools

Ataccama

Syniti

Collibra

Microsoft Purview

Informatica

Alation

Job description

Job Description:

Position Title: Data Quality and Governance Engineer

Position Type: Regular - Full-Time

Requisition ID: 43863

In every role, McCainers are ambitious, curious, and passionate about creating exceptional work experiences - together. With a customer-first mindset, we make doing business with McCain easy.

About The Role.

The Data Quality and Governance Engineer plays a critical role in strengthening McCain's enterprise data foundation by ensuring data is accurate, trusted, secure, and well-governed. 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 Be Doing.

• 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.
• Leverage AI-enabled capabilities, including anomaly detection and metadata classification, to improve data governance and quality processes.
• 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.
• Document business rules, validation logic, data definitions, and exception management processes for critical data assets.
• Manage and maintain enterprise metadata, data catalog, and data lineage documentation across platforms and domains.
• Collaborate with data engineers, architects, data stewards, and business teams to capture data flows, transformations, and lineage.
• Support the implementation, optimization, and adoption of data governance, reference data, and data quality tools.
• Deliver governance training, onboarding, reporting, and documentation to drive awareness, compliance, and adoption of data governance practices.

What You’ll Need To Be Successful.

• Bachelor’s degree in Management Information Systems, Engineering, Mathematics, Computer Science, Information Technology, or a related field.
• Minimum 4 years of experience in data governance, data management, data engineering, or a related discipline.
• Strong understanding of metadata standards, data lineage, data classification, and governance best practices.
• Proficiency in SQL and/or Python for data profiling, validation, analysis, and troubleshooting.
• Experience collaborating with business stakeholders, data owners, data stewards, IT teams, and cross-functional partners.
• Hands-on experience with data governance and data quality platforms such as Ataccama, Syniti, Collibra, Microsoft Purview, Informatica, or Alation.
• Experience working with modern cloud data platforms such as Databricks, Snowflake, AWS, or similar technologies.
• Ability to work independently in a fast-paced environment while managing multiple priorities and stakeholders.
• Experience developing metrics and KPIs to measure governance effectiveness, business impact, and compliance.
• Familiarity with data management and governance frameworks such as DAMA-DMBOK, DCAM, or similar.
• Preferred: Knowledge of consumer packaged goods (CPG) data domains, including product hierarchies, SKU management, and regulatory requirements.
• Preferred: Exposure to AI governance, responsible AI principles, and data considerations for AI/ML solutions.
• Preferred: AIGP certification.

About The Team.

The Data Quality and Governance Engineer is part of McCain's Global Data Governance team, a collaborative group focused on enabling trusted, high-quality data across regions and global functions. The team partners closely with business stakeholders, data engineering, architecture, analytics, and security teams to establish governance standards, improve data quality, and maximize the value of enterprise data assets across the organization.

Leadership principles.

At McCain, our leadership principles guide how we engage with customers, collaborate as a team, and achieve success. We focus on understanding customer needs, driving innovation, empowering people, and taking ownership to clear obstacles and deliver results.

AI & Digital Capabilities.

At McCain, AI and digital capabilities are part of how we work and innovate. We value curiosity toward emerging technologies and the thoughtful, responsible use of AI-enabled tools to improve outcomes as part of our future-ready culture.

The McCain Experience.

We are McCain. This statement is a testament to our collective strength and our individual value. Your contributions play a vital role in our success. Our winning culture is rooted in authenticity and trust, empowering us to bring out the best in one another. Here, you’ll find opportunities to learn, grow, and thrive. Join us and experience why we’re better together.

Our purpose is grounded in building meaningful relationships. We’re big believers in the power of working together in person, it helps us stay connected, collaborate more effectively, and grow as a team. At the same time, we recognize the importance of flexibility. Most office-based roles follow a hybrid model, with the option to work remotely two days a week. There may be exceptions depending on the role and location, so we encourage you to speak with your recruiter for more details.

McCain Foods is an equal opportunity employer. As a global family-owned company, we strive to be the employer of choice in the diverse communities around the world in which we live and work. We recognize that inclusion drives our creativity, resilience, and success and makes our business stronger. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex, age, veteran status, disability, or any other protected characteristic under applicable law.

McCain is an accessible employer. If you require an accommodation throughout the recruitment process (including alternate formats of materials or accessible meeting rooms), please let us know and we will work with you to find appropriate solutions.

Your privacy is important to us. By submitting personal data or information to us, you agree this will be handled in accordance with McCain's Global Privacy Policy and Global Employee Privacy Policy, as applicable. McCain leverages AI in the hiring process, though all final decisions are made by humans. You can understand our approach to AI and how your personal information is being handled here.

Job Family: Human Resources

Location(s): IN - India : Haryana : Gurgaon

Company: McCain Foods(India) P Ltd