Principal Data Platform & AI Engineer
Tasks
- Apply Medallion Architecture
- Automate monitoring and observability
- Build ETL/ELT pipelines
- Build analytics architectures
- Create infrastructure as code
- Define target state data platform architecture
- Deploy generative AI use cases
- Design lakehouse ingestion and transformation
- Develop streaming data solutions
- Enable enterprise AI on data platforms
- Establish data governance and security standards
- Implement CI/CD pipelines
- Implement data mesh
- Implement semantic layers
- Lead cloud data platform implementation
- Manage platform lifecycle and deployments
- Mentor engineering teams
- Operationalize machine learning solutions
- Set up data quality and metadata management
Perks/Benefits
- Certification support
- Continuous learning
- Flexible working hours
- Hybrid work environment
- Personal growth
Skills/Tech-stack
AWS | Azure | Azure DevOps | Azure Synapse | CI/CD | DAX | Data Governance | Data Lakehouse | Data Quality | Data Security | Data Vault | Data mesh | Databricks | Delta Lake | DevOps | Dimensional Modeling | ELT | ETL | GCP | Git | GitOps | Infrastructure as Code | Lakehouse | Medallion Architecture | Metadata Management | Microsoft Fabric | Observability | Power BI | Power Query | PySpark | Python | SQL | Snowflake | Streaming | “as-code”
Education
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