Senior Data Engineer

New
K
KeedianBuilding Automation
Mexico, Colombia, and ArgentinaFull-TimeSenior
Salary not disclosed
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Job Details

Languages
Advanced English, Advanced Spanish
Experience
5+ years
Required Skills
AWSPythonSQLIoTData engineeringdbt

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

Responsibilities

  • 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
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