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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
Salary estimate
$81,000 – $109,000/yr
Provided by the employer.
Skills for this role
CommunicationAutomation
Resume tips for Data Quality applicants
Lead with measurable achievements relevant to Data Quality (numbers, scope, impact).
Mirror the exact keywords from the Data Quality posting so applicant tracking systems rank you higher.
List the specific tools and skills the role names (e.g. Python, SQL, Excel, Powerpoint).
Keep it to one page for early-career, two pages for senior Data Quality candidates.
Interview preparation
Prepare concrete STAR-format stories that show Data Quality outcomes you drove.
Research the employer's product and recent news before the interview.
Be ready to explain how you'd approach a typical Data Quality problem end to end.
Have thoughtful questions ready about the team, tools and success metrics.
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