Key skills
AWSCloudIoTPythonSQLAIData EngineeringData LakeAnalyticsdbt
About this role
Role Overview
- Design, build, and evolve Keedian’s analytical platform and multi-tenant data lake architecture
- Build and maintain scalable ingestion pipelines from operational systems, APIs, IoT devices, and telemetry sources
- Develop and own analytical models, semantic layers, dashboards, and operational reporting
- Ensure data quality, lineage, observability, freshness, scalability, and reliability across the platform
- Collaborate with Engineering and Product teams to ensure systems and events are analytics-ready
- Build the data foundation for predictive maintenance, operational intelligence, anomaly detection, and AI-driven optimization
- Help define and measure customer impact through ROI, savings, and operational performance metrics
- Contribute to architecture decisions, documentation, governance, and evolution of Keedian’s modern data stack
Requirements
- 5+ years of experience in Data Engineering or Analytics Engineering
- Experience building data platforms end-to-end
- Experience working with telemetry, time-series, or large-scale operational data
- Experience with cloud architectures and multi-tenant environments
- Advanced SQL
- Python for data engineering
- AWS and modern data lake/lakehouse architectures
- dbt or similar transformation/modeling tools
- Workflow orchestration and pipeline management
- Streaming and large-scale data processing
- Data quality, observability, and Infrastructure as Code
- Advanced English
- Advanced Spanish
Tech Stack
- AWS
- Cloud
- IoT
- Python
- SQL
Benefits
- 100% remote
- Flexible schedule
- Birthday day off
- Reduced hours on Fridays
- Unlimited vacations
- Sick leave days
- Moving day off
- Support for studies, training, and language learning
- Referral program