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Data Quality

capco India - Bengaluru

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  • open for 73 days (60–89 days is elevated risk)
  • 731 open roles at this company in 30 days (mass-hiring blitz)
  • no salary disclosed (correlates with ghost postings)

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About the role

Job Title: Data Quality Transformation Specialist

Experience: 8–14 Years

Location: Bangalore / Chennai

Role Overview: We are seeking experienced professionals to support the digitisation and transformation of the Data Quality (DQ) landscape. The role focuses on reducing and replacing manual processes, particularly in areas such as metadata management and business term development. The candidate will work closely with technology teams to enhance existing DQ tools and frameworks.

Key Responsibilities

Drive transformation initiatives to modernise the Data Quality (DQ) ecosystem

Reduce manual processing through automation and digitisation of DQ activities

Manage and enhance metadata frameworks, including business glossary and data definitions

Develop, standardise, and maintain business terms and data quality rules

Collaborate with technology teams to enhance DQ tools such as Rosetta and DQMA

Identify opportunities for process optimisation and efficiency improvements

Support implementation of best practices in data governance and data quality management

Work with stakeholders across business and technology to align DQ initiatives with organisational goals

Required Skills & Experience

8–14 years of experience in Data Quality, Data Governance, or related domains

Strong understanding of metadata management and business glossary frameworks

Hands-on experience with Data Quality tools (e.g., Rosetta, DQMA, or similar platforms)

Experience in digitisation and transformation initiatives

Strong analytical and problem-solving skills

Ability to work collaboratively with cross-functional teams (Business & Technology)

Excellent communication and stakeholder management skills

Preferred Qualifications

Experience in financial services or consulting environments

Familiarity with data governance frameworks and regulatory requirements

Exposure to automation tools or data engineering concepts

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