Related skills
azure terraform cloudformation aws etl📋 Description
- Manage the discovery-to-scale data pipeline across the analytics stack.
- Bridge building technical products with rapid solution delivery.
- Design and build data integration, storage, and AI-ready infra.
- Operate with high autonomy, aligning with strategic goals.
- Collaborate with Platform Engineers and multiple teams.
- Enable analytics and AI capabilities through scalable data solutions.
🎯 Requirements
- Bachelor's degree in Computer Science or Engineering; 8-12 years of data engineering experience.
- Proven ETL/ELT pipeline design, build, and maintenance.
- Cloud platforms: AWS, Azure, or GCP; IaC (Terraform/CloudFormation) and CI/CD for data.
- Advanced data modeling: conceptual, logical, and physical models; migrations.
- AI/MLOps readiness: data validation and governance for AI/ML deployment.
- SRE-focused: define SLOs/SLIs and 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
- A collaborative and innovative work environment where your ideas are valued
- Hybrid working model
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