Related skills
azure terraform aws etl gcp📋 Description
- Manage the discovery-to-scale data pipeline and deliver validated solutions.
- Bridge building technical products with rapid solution delivery.
- Design data integration, storage, and infrastructure for analytics and AI.
🎯 Requirements
- Bachelor's degree in CS or Engineering; 8–12 years leading data projects.
- Enterprise data integration & architecture: design and maintain robust ETL/ELT pipelines.
- Cloud-native data ecosystems: AWS, Azure, or GCP; IaC and CI/CD for data solutions.
- Advanced data modeling: conceptual, logical, physical modeling; manage migrations.
- AI/MLOps readiness: apply AI tools to optimize data workflows and govern models.
- System reliability & resilience (SRE): define/monitor SLOs/SLIs; ensure resilient data systems.
🎁 Benefits
- Challenging and rewarding work with real impact
- Direct Access to Cutting-Edge AI Platforms
- Diverse and Inclusive Culture
- Growth opportunities for personal and professional development
- Hybrid working model
- Exposure to exciting projects and high-profile clients
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