Summary from listing
The Data Quality Engineer will serve as the primary technical authority for data quality at Nestlé Headquarters, defining standards, controls, metrics, monitoring, and remediation processes across analytical and operational data. The role leads Data Quality initiatives across Data Engineering, Data Governance, and business teams; integrates quality practices into DataOps, observability, CI/CD, and data governance; supports data catalog, lineage, metadata, and data product standards; investigates quality issues; and mentors engineers and analysts. The position is remote and requires a bachelor's degree in a relevant technical field, strong Data Engineering experience, and expertise in data quality frameworks, profiling, validation, cleansing, observability, SQL, Python, Databricks or Snowflake, Great Expectations, DBT, and related governance and DataOps practices.
