Senior Data Engineer
Tasks
- Build automated ingestion pipelines batch and streaming
- Create operational runbooks and conduct failure simulations
- Design and deploy RBAC and ABAC access control
- Design and deploy data lakehouse using medallion architecture
- Ensure security and compliance with NCA and NDMO standards
- Implement data quality checks
- Implement encryption at rest and TLS in transit
- Integrate with enterprise identity providers
- Lead technical mentoring and knowledge transfer
- Manage key management and audit logging
- Monitor and maintain data systems and respond to incidents
- Optimize data processing performance scalability and cost
- Process structured and unstructured data
- Track data lineage
Perks/Benefits
- N/A
Skills/Tech-stack
AES 256 | AWS | Access Control | Access Management | Active Directory | Apache Airflow | Apache Hudi | Apache Iceberg | Apache Kafka | Apache Spark | Attribute-Based Access Control | Attribute-based access | Audit Logging | Azure | Cassandra | Centralized audit logging | Cloud infrastructure | Cloud platform | DBT | Data Lineage | Data Quality | Delta Lake | ELT | ETL | Google Cloud | Google Cloud Platform | Hadoop | Hive | Identity and Access Management | Identity and access | Java | Key Management | Key Management Systems | Knowledge graphs | Language Processing | Machine Learning | Management systems | MongoDB | MySQL | Natural Language | Natural Language Processing | Network Security | Oracle Cloud | Oracle Cloud Infrastructure | PostgreSQL | Prefect | Python | Role-Based Access | Role-Based Access Control | Scala | TLS 1.2 | Trino | Vector embeddings
Education
Roles
Regions
Countries
States
Cities
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