Middle/Senior Data Engineer
Tasks
- Automate grant and rollback using Infrastructure as Code
- Classify data by domain
- Deploy data pipelines
- Deploy data products and access controls
- Design data access systems
- Develop data pipelines
- Implement data contracts
- Implement data governance systems
- Maintain data pipelines
- Maintain documentation for data contracts and governance
- Monitor pipelines and quality checks
- Profile data and detect PII
- Review access architectures for reusability
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Access Controls | Apache Spark | Data Contracts | Data Governance | Data Lakehouse | Data Modeling | Data Processing | Data Quality | Data Warehousing | Data access | Data access controls | Data quality monitoring | Databricks | Databricks Workflows | Delta Lake | Distributed data | Distributed data processing | GCP | Infrastructure as Code | PII Detection | PySpark | Python | Quality monitoring | SQL | Terraform | Unity Catalog | “as-code”
Education
N/A
Roles
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