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Job Description
Structured overview of role & requirementsAbout This Role
Implement and monitor data quality controls using SQL across enterprise data platforms to ensure data accuracy, completeness, and reliability.
Develop and maintain dashboards and reports (e.g., Power BI) tracking data health metrics, SLA adherence, and issue backlogs for business stakeholders.
Investigate data quality issues, perform root cause analysis across source systems and pipelines, and collaborate with teams to implement sustainable fixes.
Minimum Requirements
Bachelor's degree in quantitative discipline (Engineering, Statistics, Applied Math, Computer Science, Data Science, Economics, or related) or equivalent experience.
Experience in data quality, data analytics, or data management roles, including implementing data validation checks and managing ETL pipelines.
Strong SQL skills including joins, aggregations, and query optimization; basic to intermediate Python scripting experience.
Work Experience Required: Not explicitly mentioned in the JD. Location: Chennai, with minimum three days per week expected in-office.
Ideal Candidate Profile
Experienced working in data-intensive environments involving data warehouses, data lakes, and tools like Databricks, with focus on data quality and monitoring.
Able to partner cross-functionally with engineers, product managers, and governance teams to maintain and improve trusted, AI-ready data products.
Comfortable building business-relevant reports and translating technical data findings into actionable recommendations facilitating decision speed and reliability.
