Data Governance (Data Quality tool) Professional

Job description

Educational Requirements Bachelor of Engineering, BTech, BCA, BSc, MTech, MSc, MCA Service Line Data Analytics Unit Responsibilities - Data Governance Implementation: Design and implement data governance frameworks, policies, and standards - Define data ownership, stewardship, and accountability models - Ensure compliance with regulatory requirements (GDPR, HIPAA, etc.) - Data Quality Management - Implement and manage data quality tools (IDQ / Ataccama / Collibra / Talend DQ) - Define and enforce data quality rules (validity, accuracy, completeness, consistency) - Perform data profiling, cleansing, validation, and monitoring - Identify and resolve data anomalies and inconsistencies - Metadata Data Lineage - Maintain and manage data catalog, metadata, and lineage - Track end-to-end data flow across systems - Ensure transparency and traceability of data assets - Data Stewardship Compliance - Collaborate with data stewards, business users, and IT teams - Establish processes for data issue management and resolution - Conduct audits and ensure adherence to governance policies - Integration with Data Platforms - Integrate data quality checks with data warehouses (Snowflake, BigQuery, Redshift) - Data lakes (AWS S3, Azure Data Lake) - Validate data across ETL/ELT pipelines - Support data engineering and analytics teams - Monitoring Reporting - Build dashboards and reports on data quality metrics and KPIs - Monitor data health and generate quality scorecards - Provide actionable insights for improvement Required Skills Qualifications - Core Skills: 36 years of experience in Data Governance / Data Quality - Hands-on experience with data quality tools: Informatica Data Quality (IDQ) - Ataccama ONE - Collibra Data Quality - Talend Data Quality - Strong understanding of data governance principles - Technical Skills - Strong SQL skills - Experience with data profiling and cleansing techniques - Knowledge of ETL/ELT processes and data pipelines - Familiarity with data modeling concepts - Tools Platforms - Data catalog governance tools (Collibra, Alation, Azure Purview) - Cloud platforms (AWS / Azure / GCP) - BI tools (Power BI, Tableau) for reporting Additional Responsibilities - Certifications in Informatica / Ataccama / Collibra / Data Governance - Experience with data lineage and metadata tools - Knowledge of data privacy and security frameworks - Exposure to big data technologies (Spark, Hadoop) Technical and Professional Requirements Primary skills:Technology- >Consulting - Data Governance- >Data Governance,Technology- >ETL Data Quality- >ETL Data Quality - ALL Preferred Skills - Technology- >ETL Data Quality- >ETL Data Quality - ALL - Technology- >Consulting - Data Governance- >Data Governance