Data Engineer (AI Adoption)
Tasks
- Build and maintain data APIs
- Collaborate with product architecture security and platform teams
- Create and review technical designs documentation and runbooks
- Deliver AI GenAI solutions from discovery through deployment
- Design cloud native event driven data platforms
- Develop and operate scalable data pipelines
- Engineer AI ML ready datasets with data quality lineage and governance
- Implement responsible AI privacy and data governance controls
- Optimize data pipelines queries and algorithms
- Perform code reviews and mentor engineers
Perks/Benefits
- Additional leave options
- Employee discounts
- Flexible work arrangements
- Learning and development opportunities
- Volunteering opportunities
Skills/Tech-stack
AI Engineering | Azure | Azure Data | Azure Data Lake | Azure Event | Azure Event Hubs | Azure Synapse | Azure Synapse Analytics | CI/CD | Cosmos DB | Data Governance | Data Lake | Data Lineage | Data Modeling | Data Warehousing | DevSecOps | Event Hubs | Java | Jenkins | Kafka | Machine Learning | Prompt engineering | Python | RAG | Retrieval-Augmented Generation | SQL | Scala | Serverless | Snowflake | Spring Boot | Synapse Analytics | Teradata
Education
N/A
Roles
AI | AI Engineer | Data Engineer | Engineer
Regions
Countries
States
Cities
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