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Senior Analytics Engineer (Golf)

Posted 9 days agoViewed

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💎 Seniority level: Senior

📍 Location: Canada, EST/EDT

🔍 Industry: Software Development

🏢 Company: Lightspeed Commerce👥 1001-5000💰 $716,100,000 Post-IPO Equity over 3 years ago🫂 Last layoff 4 months agoE-CommerceBusiness Information SystemsRetail TechnologyCloud Management

🗣️ Languages: English

🪄 Skills: PythonSQLGCPCommunication SkillsCI/CDProblem SolvingComplianceData modelingSaaS

Requirements:
  • Proficient with SQL and Python (or equivalent language)
  • Experience with MPP data warehouse (we use BigQuery)
  • Proficiency in performing data profiling, data mapping and data quality validation
  • Experience with data orchestrator
  • Solid understanding of industry standards for data warehousing and data modeling
  • Proficiency with data environments (we use GCP) as well as containerization solutions
  • Proficiency in source control, CI/CD and automated testing
  • A security mindset with ability to work with compliance protocols (SOX, GDPR)
  • Excellent communication skills and ability to communicate with technical and non technical stakeholders
  • Excellent problem solving skills
  • Ability to work independently and in teams
  • Self motivated and great at taking initiative
Responsibilities:
  • Cleanse and transform raw data into business logic to help stakeholders build reports and data models
  • Ensure the right data gets to the right people at the right time
  • Collaborate with a Central Data Team to build data pipelines in accordance with shared best practices and design, and feed proper data models for usage
  • Act as a champion for data quality and usability across the Golf organization
  • Ensure availability, quality and searchability of data and documentation
  • Write, clean and maintainable queries and scripts that are highly performing, well structured and easy to understand and extend
  • Automate testing of data models and add appropriate validations to ensure quality
  • Help define and improve our internal standards for data models and infrastructure
  • Help define the data vision and roadmap for a new and fast-growing product
  • Mentor and help grow the team
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