Data Quality Analyst - Senior 1
SourceoPuneOn-siteDirect career pageEst. 12–20 LPA
Posted on 10 Sept
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Job description
Structured overview of role & requirements
About This Role
- Lead design and continuous enhancement of the Enterprise Data Quality Framework across data ecosystems to ensure data trustworthiness and readiness for AI applications.
- Establish and operationalize automated data quality capabilities including profiling, validation, monitoring, and issue management with measurable KPIs and SLAs.
- Collaborate with Data Engineering, Product Management, and cross-functional teams to embed Data-as-a-Product quality practices throughout the data lifecycle.
Minimum Requirements
- Bachelor's degree in Computer Science, Information Technology, Data Analytics, Engineering, Information Systems, or related field required; Master's preferred.
- Intermediate level relevant work experience required (exact years not specified).
- Hands-on experience with enterprise Data Quality programs, including profiling, validation, reconciliation, root cause analysis, and monitoring across large-scale data environments.
- Experience with modern cloud data platforms and technologies such as Snowflake, Databricks, SQL, Matillion, dbt, and Power BI.
Ideal Candidate Profile
- Experienced in implementing and automating data quality controls and governance frameworks across end-to-end data lifecycles in large enterprises.
- Proficient in coordinating with cross-functional teams and embedding scalable data quality and governance standards into enterprise pipelines and products.
- Familiar with Data Quality, Data Governance, Metadata Management, Lineage, Stewardship, Master Data Management, and Data-as-a-Product methodologies and tools.