Design, develop, and maintain data quality rules, metrics, and dashboards
Identify, analyze, and resolve data quality issues and anomalies using data profiling, data cleansing, and data governance practices
Provide production support for data quality tools, including monitoring jobs, troubleshooting rule execution failures, managing incident tickets, and ensuring timely resolution of operational issues.
Collaborate with data engineers, business analysts, and business stakeholders to understand data requirements, sources, and flows
Implement data quality best practices and standards across the data lifecycle
Monitor and report on data quality performance and trends
Conduct data quality audits and assessments and provide recommendations for improvement
Providing guidance and support to business units on data governance and data quality best practices.
Promote/Communicate the concept of Critical Data Elements and create methodology for prioritizing CDEs
Promote and operationalize data quality monitoring and rule management together with issue management.
Provide training to users on tools to promote awareness and adherence.
Collaborating with data owners and data stewards to ensure data quality practices is implemented and followed.
Experience / Qualifications
At least 5-8 years of hands-on experience with a Data Quality tool /Informatica, Databricks, Microsoft Power BI
Strong technical skills in data and database management, with proficiency in data wrangling, analytics, and transformation using Python and SQL
Asset Management experience will be beneficial to understand and recommend the required data quality rules and remediation plan to the stakeholders.
Curious, analytical, and able to think critically to solve problems
Detail-oriented and comfortable dealing with complex structured and unstructured datasets
Clear and effective communication skills, with an ability to communicate complex ideas and manage stakeholder expectations
Strong organizational and prioritization skills, adaptable and able to work independently as required
