Data Quality Analyst - Senior 2
SourceoPuneOn-siteDirect career pageEst. 15–30 LPA
Posted on 10 Sept
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Job description
Structured overview of role & requirements
About This Role
- Lead design, implementation, and continuous improvement of the Enterprise Data Quality Framework across the data ecosystem including ingestion pipelines, data warehouses, and Data Products.
- Establish and operationalize automated data quality capabilities such as profiling, validation, monitoring, issue management, and KPI scorecards to improve enterprise data accuracy, completeness, and reliability.
- Partner with Data Engineering, Enterprise Data Management, Product teams, and business stakeholders to embed Data-as-a-Product quality practices and governance throughout the data lifecycle.
Minimum Requirements
- Bachelor's degree in Computer Science, Information Technology, Data Analytics, Engineering, Information Systems or related field; Master's preferred.
- Intermediate level of relevant work experience required.
- Strong hands-on experience leading enterprise Data Quality programs and frameworks across large-scale Data Warehouse and Data Product environments.
- Experience with modern cloud data platforms and tools like Snowflake, Databricks, SQL, Matillion, dbt, and Power BI.
Ideal Candidate Profile
- Experienced in establishing data quality, governance, metadata management, lineage, and stewardship practices within enterprise data ecosystems.
- Skilled in implementing automated data quality controls and observability solutions across end-to-end data pipelines and products.
- Capable of partnering cross-functionally with technical and business teams to operationalize scalable data quality standards and certification processes.