Related skills
sre terraform cloudformation aws etl📋 Description
- Manage the discovery-to-scale data pipeline and hand off validated solutions.
- Bridge building tech products with solving real business problems through rapid delivery.
- Design and build data integration, storage systems, and analytics/AI infrastructure.
- Operate with high autonomy; define direction within strategic goals.
- Collaborate with Platform Engineers for enterprise-wide generalization.
- Deliver tangible business results amid high complexity and ambiguity.
🎯 Requirements
- Bachelor’s degree in CS or Engineering; 8–12 years in data engineering leadership.
- Enterprise data integration & architecture; robust ETL/ELT pipelines.
- Cloud-native data infra (AWS/Azure/GCP); IaC with Terraform/CF; CI/CD.
- Advanced data modeling across conceptual, logical, physical schemas.
- AI/MLOps readiness; data validation and governance for AI/ML.
- SRE focus: define SLOs/SLIs; design 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
- Collaborative and innovative work environment where your ideas are valued
- Hybrid working model
Meet JobCopilot: Your Personal AI Job Hunter
Automatically Apply to Data Jobs. Just set your
preferences and Job Copilot will do the rest — finding, filtering, and applying while you focus on what matters.
Help us maintain the quality of jobs posted on Empllo!
Is this position not a remote job?
Let us know!