Data & Analytics Engineer
Tasks
- Apply anonymization pseudonymization aggregation and retention deletion and DLP policy to data layer
- Automate analysis and data workflows
- Build and manage metric and semantic layer
- Contribute to reverse ETL specifications
- Define privacy and DLP requirements and enforce at ingestion
- Design and operate data products
- Implement data governance schema and terminology and ownership
- Operate data quality and observability
- Standardize analytics serving and KPI monitoring
Perks/Benefits
- N/A
Skills/Tech-stack
Anonymization | Apache Airflow | CI/CD | DBT | DLP | Data Governance | Data Loss Prevention | Data Modeling | Data Observability | Data Pipeline Engineering | Data Privacy | Data Quality | Data Quality Testing | Data Warehousing | Data loss | Data pipeline | Databricks | Google BigQuery | Loss prevention | MetricFlow | Pipeline engineering | Pseudonymization | Python | Quality testing | Reverse ETL | SQL | Semantic layer | Version control
Education
N/A
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