Proficient Data Quality Engineer

Proficient Data Quality Consultant Required Skills: Hands-on experience with enterprise Data Quality tools such as: Informatica Data Quality (IDQ), Talend Data Quality, SAP Information Steward, IBM QualityStage, Oracle Data Quality, or equivalent tools. Solid understanding of DAMA-DMBOK based Data Quality dimensions: Accuracy, Completeness, Consistency, Validity, Uniqueness, Timeliness. Experience in data profiling, assessment, and quality analysis. Design and implementation of data validation, cleansing, normalization, and standardization rules. Advanced SQL proficiency for analysis, validation, and information monitoring. Experience integrating quality controls into ETL/ELT processes and data pipelines. Knowledge of metadata management, data lineage, and audit controls. Understanding of security, privacy, and compliance principles related to data management. Experience in root cause analysis and resolving data quality incidents. Ability to document metrics, rules, standards, and quality results. Desirable Skills: Experience with modern data architectures: Data Lake, Lakehouse, Data Mesh, Data Fabric. Knowledge of DataOps applied to data quality processes. Experience in automating monitoring and quality controls. Knowledge of Cloud platforms: Microsoft Azure, AWS, Google Cloud Platform (GCP). Experience working with multiple domains.