Related skills
azure terraform aws etl gcp📋 Description
- Manage discovery-to-scale data pipelines and hand off solutions to Platform Engineers.
- Bridge building tech products with real-world business problems via rapid delivery.
- Design and build data integration, storage systems, and analytics-ready infra.
- Define direction within strategic goals; influence multiple teams.
- Enable analytics and AI capabilities through robust data infra.
🎯 Requirements
- Experience & Education: Bachelor's in CS/Engineering; 8–12 yrs data eng leadership.
- Enterprise Data Integration & Architecture: Design/build scalable ETL/ELT pipelines; handle complex schemas.
- Cloud-Native Data Ecosystems: Cloud platforms AWS/Azure/GCP; IaC Terraform/CloudFormation; CI/CD for data.
- Advanced Data Modeling: Conceptual, logical, and physical modeling; balance normalization and performance.
- AI/MLOps Readiness: AI tools to optimize data workflows; data validation for AI/ML.
- Full-Stack Solution Delivery: End-to-end data apps; rapid prototyping; manage tech debt.
🎁 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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