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A Us/Canadian based IT MNC is hiring Data Correction Engineer/ Data Quality Specialist for one of their client working in Netsuite ERP environment.
Job Summary:
Client is seeking a highly detail-oriented Data Quality Specialist to join the Information Technology team. This role is responsible for identifying, correcting, and preventing data quality issues across core enterprise systems, with a primary focus on Net Suite, and cross-workplace platforms including Snowflake and Couch DB. The individual will work closely with business stakeholders to understand data issues, perform root cause analysis, and partner with the Data Governance team to implement governance standards, controls, and preventative measures to improve data integrity across the organization.
Key Responsibilities:
ERP experience, Perform hands-on data correction and validation activities primarily within Net Suite and across Snowflake and other database types (Couch DB, Redis, Postgre SQL) Investigate data discrepancies, anomalies, and integrity issues across systems
Engage directly with business users to understand data problems and operational impacts
Conduct root cause analysis to identify underlying causes of data quality issues
Collaborate with the Data Governance team to implement governance methodologies, standards, and controls
Define and support data quality rules, validation checks, preventative measures and regulatory requirements (e.g., ensuring data aligns with pharmaceutical standards)
Partner with IT, analytics, and integration teams to ensure cross-platform data consistency
Document data issues, resolutions, and governance recommendations
Support monitoring and reporting of data quality metrics




Ensure compliance with internal data standards, policies, and regulatory requirements
Collect and compile data from various sources, including CSV files, spreadsheets, external databases or APIs, web searches, third-party vendors, and internal user-reported errors or discrepancies.
Familiarity with data formats like CSV, JSON, and integration methods (e.g., APIs for external sources)
Required Qualifications:

Proven, hands-on experience (5-8 Yrs) working extensively in Net Suite, including data correction and validation
Demonstrated experience with data governance practices, including data quality controls, standards, and stewardship
Strong skills in data validation tools and techniques, including Excel/Google Sheets, SQL, and basic scripting (e.g., C#, Python or Java Script for automation).
Experience with ETL tools (e.g., Talend, Informatica) or data integration platforms.
Mass data migration and correction capabilities like script creation, CSV uploads etc.
Strong understanding of data quality management and root cause analysis
Working knowledge of Snowflake and modern data platforms
Familiarity with DBT and data transformation concepts
Experience working across multiple relational and non-relational databases
Ability to communicate effectively with business stakeholders
Exceptional attention to detail and accuracy
Strong analytical and problem-solving skills
Preferred Qualifications:

Experience in data governance, data quality, or master data management initiatives
Experience in Pharmacy and Health care data (Preferred), logistics, supply chain, or regulated industry environments Understanding of data lineage, ownership, and stewardship concepts

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