Group Lead - Data Quality Engineer
Bangalore, Karnataka, India
INR 1500K-2500K (estimate) Senior-level Full Time
Tasks
- Build Python backend services
- Build dashboards for data trust scores
- Build data quality and observability DataApps
- Define data quality KPIs
- Define data quality policies
- Detect volume and distribution anomalies
- Develop Streamlit dashboards and UIs
- Develop data observability capabilities
- Develop metadata driven quality monitoring
- Develop reusable Spark and Delta Lake frameworks
- Drive adoption of standardized data quality practices
- Ensure auditability traceability governance compliance
- Implement automated alerting
- Implement automated remediation workflows
- Implement data validation frameworks
- Integrate DQ checks into CI CD pipelines
- Integrate data quality checks in Azure pipelines
- Integrate monitoring with ADLS Gen2
- Monitor data freshness and SLAs
- Monitor schema drift and pipeline health
- Optimize quality validation performance
- Support audit and compliance reporting
- Validate data lineage and reliability
Perks/Benefits
- N/A
Skills/Tech-stack
ADLS Gen2 | Anomaly Detection | Apache Spark | Automated alerting | CI/CD | Data Freshness Monitoring | Data Lineage | Data Observability | Data Validation | Data freshness | Databricks | Delta Lake | Freshness Monitoring | Metadata Driven | Metadata Management | Metadata-driven architecture | Microsoft Azure | Python | REST API | SQL | Schema drift | Streamlit
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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