Data Quality Specialist – Data Quality
5 days ago
Job Overview:
The Data Quality Specialist will be responsible for ensuring the accuracy, completeness, consistency, and compliance of data within the Data Quality & Data Management Solution. This role plays a crucial part in managing legacy data, profiling, cleansing, and validating datasets to maintain high-quality data standards across government systems.
Key Responsibilities:
- Perform data profiling, cleansing, deduplication, and standardization to improve data integrity and reliability.
- Implement data validation and anomaly detection processes using the proposed Data Quality & Data Management Platform.
- Develop and maintain data quality rules and ensure adherence to defined SLAs and governance frameworks.
- Collaborate with data architects, ETL developers, and analysts to integrate data quality processes within data pipelines.
- Conduct root cause analysis for data quality issues and propose corrective and preventive measures.
- Support data migration and legacy data management activities as per RFP requirements.
- Prepare and maintain detailed documentation of data quality metrics, reports, and audit logs.
- Work with stakeholders to define data quality KPIs, monitor performance, and report exceptions.
- Ensure compliance with data governance, security, and privacy standards in PSU and government environments.
- Provide domain expertise during project audits, reviews, and validation exercises.
Educational Qualifications:
Bachelors or Masters degree in Computer Science, Data Science, Statistics, Information Management, or related fields.
Preferred: Specialization in Data Analytics, Data Architecture, or Data Quality Management.
Professional Experience:
- Minimum 7 years of experience in Data Quality Management.
- At least 2 years implementing data quality solutions in government or e-governance projects.
- Experience in at least 2 large-scale data analytics or data quality projects.
- Proven hands-on experience in data profiling, deduplication, standardization, and handling multi-source environments (e.g., G2B/G2C integrations).
- Familiarity with data governance frameworks and SLA-based data management in PSU/Central/State government projects.
Technical Skills:
- Proficiency in Data Quality & Data Management Platforms for:
- Rules-based validation
- Anomaly detection
- Reporting and monitoring
- Strong knowledge of SQL querying, data mapping, and ETL integration.
- Hands-on experience with data quality tools and profiling utilities.
- Understanding of metadata management, data lineage, and data audit processes.
- Exposure to data governance policies, security, and privacy compliance standards.
Other Requirements:
- Strong analytical and problem-solving skills with attention to data accuracy and integrity.
- Ability to collaborate across teams (architects, developers, analysts, and stakeholders).
- Excellent communication and reporting abilities for data quality assessments.
- Must provide verifiable references from similar data-intensive projects.
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