Job description
Perform critical tests on all outbound data.
Run data quality profiling for accuracy, completeness, timeliness, uniqueness, validity, consistency on raw and reporting data.
Follow a golden runbook for validation, run rollbacks exist for bad loads.
Run RCA for data quality incidents.
Work with relevant stakeholders to test requirements and acceptance criteria.
Set & monitor SLAs and communicate status & risks for early escalations.
Configure and test DQ tooling (e.
g., Great Expectations/Soda, Informatica/Talend DQ; OpenMetadata for catalog/lineage).
Build and test profiling jobs and anomaly alerts.
Get permanent controls implemented in relevant data and technology infrastructures, and implement where possible.
Bachelor's degree in Data Management, Computer Science, Information Systems, or a related field 0-3 years of experience in data management, data governance experience is preferred.
Knowledge of tools such as: Open-Source Tools: Apache Atlas, Apache Ranger, Great Expectations, Open Metadata Proprietary Tools: Informatica Axon, Informatica EDC, Talend Data Fabric, Oracle Data Governance Suite.
Understanding of regulatory compliance frameworks (e.
g., GDPR, ISO 27001) Academic knowledge of metadata management, data lineage, and data cataloguing tools Academic understanding of big data ecosystems (e.
g., Hadoop, Spark) and Data Warehousing Solutions (e.
g. Oracle Data Warehouse, Teradata, MS SQL Server Data Warehouse) Strong communication skills to work in cross-functional teams and work with stakeholders
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