Senior Data Engineer
Tasks
- Build Delta Live Tables silver and gold layers
- Catalog data assets with metadata and security classifications
- Collaborate with platform and agent teams on governed tooling
- Conduct PR reviews and enforce engineering standards
- Contribute to data engineering continuous improvement
- Design ingestion into bronze layer
- Generate typed relationship graph for digital twin
- Implement automated data quality testing frameworks
- Implement entity resolution and canonical IDs
- Mentor engineers and lead architectural discussions
- Monitor pipeline health and quality metrics
- Own serving layer for AI agent interactive latency
- Set up Unity Catalog governance including row level security lineage audit logging
- Translate analytical requirements into structured reusable datasets
Perks/Benefits
Skills/Tech-stack
AWS | Access Management | Amazon S3 | Asset bundles | Auto Loader | Azure | Azure Data | Azure Data Lake | Azure Data Lake Storage | Azure Data Lake Storage Gen2 | CQRS | Change Data Capture | Cloud Storage | Data Capture | Data Governance | Data Lake Storage Gen2 | Data Modeling | Data Observability | Data Quality | Data Testing | Databricks | Databricks (asset) | Databricks Asset Bundles | Delta Lake | Delta Live Tables | Delta Live) | Entity Resolution | Event Driven | Event-driven architecture | GCP | Google Cloud | Google Cloud Storage | HNSW | IAM | IVFFlat | Identity and Access Management | Identity and access | Index Tuning | Knowledge graph | Lakehouse Architecture | Lineage | PGVector | Pgtrgm | PostgreSQL | PySpark | Python | Row Level Security | SQL | Structured Streaming | Unity Catalog
Education
N/A
Roles
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