About the Role
A data testing role that validates ingestion, mapping, transformation, and reconciliation on the data platform (Databricks on AWS). The position also validates AI-based anomaly detection outputs against agreed expected results and produces variance reports followed through to resolution.
Requirements
- Bachelor's degree in Informatics Engineering, Information Systems, Statistics, Mathematics, or a related field.
- Minimum 3 years of experience in data testing, ETL testing, or data engineering/analysis.
- Command of advanced SQL, mapping and transformation validation, cross-source reconciliation, duplicate and completeness checks, and report accuracy.
- Accustomed to Python/pandas.
- CTFL, Databricks, or AWS data certification is a plus.
- Experience with Databricks/Spark and AWS (S3, Glue, Athena) is a plus.
- Experience testing anomaly detection models is a plus.
Data Quality Test Engineer
Applications are reviewed on a rolling basis. Submit yours today.