Senior Data Engineer, Reporting
Tasks
- Build dashboard data sources
- Build materialized views and aggregated tables
- Build multi-tenant data models
- Build session-based context management
- Create audit trails and access logs
- Create denormalized tables
- Create real-time data ingestion systems
- Design and implement ETL pipelines
- Design database schemas
- Design dynamic permission models
- Develop data quality frameworks
- Handle complex data parsing
- Implement custom field handling
- Implement query optimization techniques
- Implement row level security
Perks/Benefits
Skills/Tech-stack
Access Control | Analytical Databases | Apache Airflow | Apache Kafka | Authentication | BigQuery | ClickHouse | Columnar Databases | Compliance Standards | DBT | Data Catalog | Data Lineage | Data Processing | Data Visualization | Data fabric | Data mesh | Embedded Analytics | Event Streaming | GDPR | Kinesis | Machine Learning | Machine Learning Pipelines | Metrics layers | NumPy | OLAP | Pandas | Partitioning strategies | Prefect | Pulsar | PyArrow | Python | RBAC | Real Time | Real-time Data | Real-time Data Processing | Redshift | Row Level Security | SOC2 | SQL | SaaS platforms | Semantic Modeling | Session-based access control | Snowflake | Tenant Isolation
Education
Roles
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