Data Engineer (Senior) ID43916

Описание

• Turn raw device telemetry into actionable alerts with strong observability, data quality, and launch support baked in;
  
• Work with cross-functional teams to establish device observability and health monitoring;
  
• Define logging, metrics, and traces for device and pipeline health, and ship dashboards for latency, uptime, error rates, and crash signals;
  
• Add anomaly detection over telemetry and logs and track health KPIs during launches;
  
• Develop automated anomaly detection for logging anomalies in device telemetry;
  
• Build dashboards to track device health and ensure all data artifacts have proper quality, integrity, and reliability;
  
• Participate in remote or on-site go-lives to monitor device health and triage issues in real time using dashboards;
  
• Collaborate with QA to ensure access to proper data and pipelines for testing and build automations as needed;
  
• Develop tooling to simulate various on-device scenarios for launch-readiness;
  
• Support on-site testing and live device launches remotely by monitoring device health based on metrics and dashboards;
  
• Triage issues in real time by analyzing logs and identifying failure sources to enable rapid resolution and successful launches.
  

• 5–8+ years of experience in data engineering with Spark (Structured Streaming) or similar tools in production;
  
• Proficiency in Python and strong SQL/pandas skills;
  
• Solid understanding of streaming fundamentals;
  
• Experience building alerting, monitoring, or observability systems;
  
• Experience turning manual checks into automated guardrails;
  
• Comfortable supporting live device rollouts and post-launch monitoring;
  
• Upper-intermediate English level.
  

• Professional growth: Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps.
  
• Competitive compensation: We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities.
  
• A selection of exciting projects: Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands.
  
• Flextime: Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive.