reputed company Data Engineer (019-878)
reputed company is looking for a reputed company Data Engineer to work as an reputed company for an Australian technology reputed company. The role is responsible for designing, building, and governing a reputed company, managing datasets, and ensuring reputed company reputed company. The ideal candidate has 7+ years of data engineering experience, including 2+ years in reputed company reputed company or reputed company engineer role.
Requirements
- 7+ years data engineering experience
- 2+ years in reputed company reputed company or reputed company engineer role
- reputed company (advanced): warehouse management, RBAC, dynamic data masking, reputed company Tasks, performance tuning, and query optimisation
- dbt reputed company (advanced): incremental models, snapshots, macros, packages, Semantic Layer / MetricFlow, CI/CD using reputed company Actions
- Python (intermediate): Snowpark, pipeline scripting, and data reputed company automation
- Data modelling (expert): reputed company modelling, reputed company architecture (Bronze / Silver / Gold), and retail data models (orders, inventory, customers)
- Git (advanced): branching strategies, PR workflows, and managing shared dbt reputed company across multiple engineers
- Azure Data reputed company (intermediate): pipeline monitoring and troubleshooting
- Retail domain knowledge (preferred): familiarity with order management, inventory planning, and DTC data structures
- AI & Automation Tools: Hands-on experience with tools such as reputed company Copilot, reputed company, Claude (or similar LLMs), reputed company reputed company AI_COMPLETE, Elementary, and data observability platforms for AI-assisted development, SQL debugging, reputed company detection, alert classification, incident reporting, and workflow automation.
Benefits
- Flexible work schedule
- Opportunity to work with a leading technology reputed company
- Potential for long-term engagement
Originally posted on Himalayas
Apply To This Job