Kanadevia Inova
waste infrastructure
DataEngineer
Neural analysis suggests this role is
optimal for mid candidates.
“Data Engineer at Kanadevia Inova. Skills: Snowflake, DBT, Streamlit, Power BI. Ensure stable operation. Provide support”
What You'll Achieve.
Ensure stable and secure operation; SLA/SLO compliance
Industry & Context.
structured problem-solving
What They're Looking For.
Must Have
Snowflake, SQL, DBT, Python, JavaScript, modern data pipelines, ELT patterns, data-product lifecycle, monitoring/observability tools, Snowflake dashboards, Power BI, Streamlit apps, software product deployment, CI/CD concepts
What You'll Do.
Ensure stable operation
Drive new data solution development
Implement enhancements
Troubleshoot incidents
Perform root-cause analyses
Monitor data pipelines
Maintain documentation
Maintain configurations
Maintain access controls
Support lifecycle planning
How You'll Work.
Team & Collaboration
Partner closely with delivery team; Collaborate with engineering teams; Collaborate with architecture teams; Collaborate with business teams
Communication Scope
English (written and spoken); Communicating incidents; Communicating changes; Communicating user guidance
Full Job Description
Welcome to Kanadevia Inova, a global innovation leader in the waste infrastructure space, where we believe in creating a sustainable future through technology and innovation. Transforming Waste into Value At Kanadevia Inova, we pride ourselves on being at the forefront of waste-to-X technology. We are not just waste managers; we are creators of value from what communities discard. Your role at Kanadevia Inova directly contributes to turning something once considered useless - waste - into something invaluable: energy, heat, hydrogen, fertilizer, and beyond. * Ensure stable and secure operation of all live data products, providing 2nd‑ and 3rd‑level support across Snowflake, DBT, Streamlit, and Power BI. * Partner closely with the delivery team to drive new data solution development and to implement significant enhancements to existing products. * Troubleshoot incidents, perform root‑cause analyses, and manage small enhancements and configuration updates. * Monitor data pipelines, system health, and KPIs while maintaining alerts, dashboards, and SLA/SLO compliance. * Maintain documentation, configurations, access controls, and support lifecycle planning of data products. * Collaborate with engineering, architecture, and business teams, communicating incidents, changes, and user guidance clearly. ## Qualifications * Strong hands-on familiarity with Snowflake, SQL, and DBT operational workflows. * Working knowledge of at least one programming language (e.g., Python, SQL, JavaScript) for automation, data processing, or integration tasks) * Understanding of modern data pipelines, ELT patterns, and data-product lifecycle. * Experience with monitoring/observability tools (Snowflake dashboards, Power BI, custom Streamlit apps). * Understanding of software product deployment and CI/CD concepts. * Strong communication skills in English (written and spoken), structured problem‑solving, ownership mindset, and cross‑functional collaboration. ## Additional Information Employee pe
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