Independence Pet Group
Independence Pet Group
1001 – 5000 Darbinieki
ApdrošināšanaB2CLabsajūta
Independence Pet Group ir Ziemeļamerikas mājdzīvnieku apdrošināšanas un pakalpojumu organizācija, kas apkalpo vairāk nekā 800 000 mājdzīvnieku visā ASV un Kanādā. Uzņēmums izstrādā apdrošināšanas produktus un pakalpojumus, kas paredzēti mājdzīvnieku atbalstam visa to mūža garumā, tostarp apdrošināšanas līgumu parakstīšanas iespējas, pilna cikla risinājumus partneriem un patērētājiem paredzētu apdrošināšanas segumu. Izmantojot savu mājdzīvnieku apdrošināšanas zīmolu portfeli, Independence Pet Group darbojas apdrošināšanas, patērētāju pakalpojumu un mājdzīvnieku labklājības jomā, lai stiprinātu saikni starp mājdzīvniekiem un to īpašniekiem.

Senior Analytics Engineer – dbt and Databricks

Lead analytics engineering for Clarus, building trusted data products with dbt, SQL, Python, and Databricks. Own data architecture, quality, governance, and team development.

Apraksts

  • Set the analytics engineering roadmap, priorities, standards, and operating practices
  • Design and evolve analytics architecture across bronze, silver, and gold data layers
  • Build, maintain, and optimize reusable dbt models and analytics-ready datasets
  • Write and optimize advanced SQL; use Python for transformation, validation, automation, and complex processing
  • Develop dimensional and business-focused models for dashboards, self-service analysis, operational reporting, and data products
  • Define shared KPIs, calculation logic, data contracts, ownership, and authoritative sources
  • Implement automated tests, source freshness checks, documentation, lineage, and monitoring
  • Establish Git version control, code review, CI/CD, and controlled promotion between environments
  • Work with Data Engineering on ingestion, source schemas, platform performance, and data-layer handoffs
  • Collaborate with analysts, BI developers, and business stakeholders to build scalable models
  • Improve Databricks performance and cost efficiency through table design, incremental processing, query optimization, and compute management
  • Lead data quality investigations, root-cause analysis, remediation, and communication
  • Strengthen governance, access controls, sensitive-data handling, ownership, and stewardship
  • Move spreadsheet, dashboard, and ad hoc query logic into governed dbt models
  • Design resilient models for historical analysis, changing source systems, incremental loads, and evolving business definitions
  • Create technical documentation, modeling conventions, and enablement materials
  • Develop team capability through design reviews, reusable patterns, feedback, and hands-on mentorship

Prasības

  • Bachelor’s degree or higher in computer science, data engineering, analytics, information systems, mathematics, or a related field, or equivalent professional experience
  • At least 8 years of relevant data and analytics experience, including senior-level responsibility for production analytics models and standards
  • Demonstrated success leading complex analytics engineering, data engineering, business intelligence engineering, or related initiatives
  • Advanced SQL skills, including designing, debugging, and optimizing complex transformations
  • Extensive hands-on dbt experience, including scalable architecture, tests, incremental models, snapshots, documentation, macros, packages, and production deployment
  • Strong Databricks experience with Delta Lake, Spark SQL, Workflows or Jobs, Unity Catalog, and performance tuning
  • Experience operating medallion architectures and lakehouse models across bronze, silver, and gold layers
  • Strong Python skills for data processing, testing, validation, automation, and engineering utilities
  • Knowledge of dimensional modeling, warehouse and lakehouse design, semantic layers, slowly changing dimensions, and metric governance
  • Experience with Git, CI/CD, code review, automated testing, orchestration, and environment management
  • Ability to turn unclear business needs into clear technical designs and communicate with senior leaders and nontechnical stakeholders
  • Experience in animal health, veterinary services, pet insurance, SaaS, fintech, or health technology is an advantage

Priekšrocības

  • Eligible for an annual bonus
  • Comprehensive medical, dental, and vision insurance
  • Basic life insurance at no cost to employees
  • Company-paid short-term and long-term disability coverage
  • 12 weeks of fully paid parental leave
  • Health Savings Account (HSA)
  • Flexible Spending Accounts (FSA)
  • Retirement savings plan
  • Personal paid time off
  • Paid holidays and a company-wide Wellness Day
  • Paid time off for volunteering with nonprofit organizations
  • Pet-friendly office environment
  • Commuter benefits
  • Group pet insurance
  • On-the-job training and skills development
  • Employee Assistance Program (EAP)

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