Data Engineer
Tasks
- Build and operate scalable data pipelines
- Build data foundation for AI
- Collaborate with stakeholders on data integration priorities
- Create scalable data products and semantic models
- Deliver AI ready data assets
- Design and maintain enterprise data integrations
- Develop reusable integration patterns and data services
- Ensure data quality lineage consistency and governance
- Integrate ERP CRM HR finance and manufacturing systems
- Integrate enterprise data with APIs and pipelines
- Maintain documentation, standards, and best practices
- Manage and optimize data ingestion transformation and delivery
- Monitor troubleshoot and improve pipeline performance
- Support analytics automation and AI with trusted datasets
Perks/Benefits
- N/A
Skills/Tech-stack
API Development | Boomi | CI/CD | Compliance | Data Governance | Data Lake | Data Modeling | Data Privacy | Data Security | Data Warehouse | Data pipeline | DevOps | ELT | ETL | Event Driven | Event-driven architecture | Git | JSON | Machine Learning | Messaging | OData | Parquet | REST | SQL | Semantic data | Semantic data modeling | Snowflake | XML
Education
N/A
Roles
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