Senior Data Engineer
Tasks
- Build scalable batch streaming and event driven pipelines
- Build tooling frameworks and APIs for data access control
- Collaborate with regional data engineering teams
- Contribute to data engineering architecture and capability roadmap
- Define orchestration frameworks and workflows
- Deliver curated datasets and knowledge layers for AI products
- Design data models and semantic layers
- Develop and deploy data pipelines using dbt and Databricks Lakeflow
- Establish data quality monitoring and anomaly detection
- Implement observability stacks
- Implement storage strategies
- Lead enterprise data product design and delivery
- Manage developer platform and self service interfaces
- Manage metadata lineage and governance compliance
- Mentor data engineering squads and run design reviews
- Process and enrich structured graph and unstructured data
- Support vector stores embedding generation and context retrieval
Perks/Benefits
Skills/Tech-stack
API Development | Access Control | Anomaly Detection | Apache Spark | Azure Data | Azure Data Lake | Azure Data Lake Storage | DBT | Data Contracts | Data Governance | Data Lake Storage | Data Lineage | Data Modeling | Data Processing | Data Quality | Data quality monitoring | Databricks | Delta Lake | Developer platform | Embeddings | GDPR | Graph Data | Great Expectations | Image Processing | LLM | Metadata Management | Monte Carlo | Orchestration | Python | Quality monitoring | RAG | SQL | Semantic layer | Text processing | Unstructured Data | Unstructured Data Processing | Vector Database
Education
N/A
Roles
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