Design, build, and optimize scalable, reliable data pipelines and platforms that enable analytics, reporting, and advanced data use cases.
Requirements
- Designing, developing, and maintaining robust, scalable data pipelines (batch and streaming)
- Leading, implementing and optimizing ETL/ELT processes using modern data engineering frameworks
- Designing and implementing data model using different modelling standards
- Optimizing and troubleshooting data performance, reliability, and cost across storage and computing layers
- Creating and managing knowledgebase, access controls, deployment pipeline architecture and infrastructure related to Data Platform
- Acting as tech advisor and collaborating on analytics, platform, security, and infrastructure teams
- Documenting architecture, pipelines, and operational procedures
- Ensuring data quality, validation, and observability across pipelines
Benefits
- Customizable Benefits
- Generous Vacation
- Extra Stat Holidays
- Immediate Health Coverage
- Defined Benefit Pension