- Dublin, Leinster, Ireland
- On-site
Support global reverse logistics operations by maintaining data consistency, accuracy, and governance in warehouse management systems.
Responsibilities
- Own accuracy, consistency, and completeness of source of truth data across the organization’s warehouse management systems.
- Design and maintain recurring SQL based audit mechanisms that validate data accuracy between source systems and the downstream data warehouse.
- Root cause data discrepancies, triage and prioritize incidents by business impact, and drive resolution through 3P service provider and internal engineering.
- Define and track data quality health metrics; develop scorecards and system health reports for stakeholders and QBRs.
- Develop, formalize, and communicate data standards, policies, and governance strategies; prove compliance against those policies.
Requirements
- Bachelor's degree or above in computer science, computer engineering, or related field
- Nice to have: Hands on SQL experience in a data warehouse environment (Redshift, Snowflake, BigQuery, or similar)
- Nice to have: Experience designing, maintaining data quality audit mechanisms, validation frameworks, automated monitoring scripts
- Nice to have: Experience with ETL/ELT pipelines, data warehouse technical architectures, data modeling, and data flow from source systems to consumption layers
- Nice to have: Experience authoring data governance policies, data standards, compliance documentation