Senior Analytics Engineer

Powering the businesses that are the backbone of the global economy, Lightspeed's one-stop commerce platform helps merchants innovate to simplify, scale, and provide exceptional customer experiences.
Data
Senior Software Engineer
Hybrid
1,000 - 5,000 Employees
Finance · Enterprise SaaS

Description For Senior Analytics Engineer

Lightspeed is seeking a passionate Senior Analytics Engineer to join their Central Data Team. The role involves building data pipelines and models to provide insights to corporate stakeholders. The ideal candidate should be proficient in SQL, have experience with data pipelines, and excel in data modeling. Key responsibilities include cleansing and transforming raw data, collaborating with data analysts and architects, ensuring data quality and usability, and providing technical leadership on data solutions. The position requires skills in SQL, Python, experience with MPP data warehouses (BigQuery), cloud environments (GCP), and a good understanding of data warehouse design patterns. The role offers opportunities for growth, a flexible work culture, and a range of benefits including equity, health insurance, and professional development opportunities. Lightspeed, founded in 2005 in Montreal, is a dual-listed company on NYSE and TSX, serving retail, hospitality, and golf businesses in over 100 countries.

Last updated 3 months ago

Responsibilities For Senior Analytics Engineer

  • Cleanse and transform raw data into business logic
  • Collaborate with data analysts and architects to design and feed data models
  • Champion data quality and usability across the organization
  • Write, clean, and maintain SQL/Python queries/scripts
  • Automate testing of data models and monitor quality
  • Provide technical leadership on forward-looking data solutions
  • Continuously improve data pipeline
  • Adopt and teach software engineering best practices
  • Define and improve internal standards for data infrastructure
  • Share knowledge and mentor junior engineers

Requirements For Senior Analytics Engineer

Python
  • Proficient skills with SQL
  • Good knowledge of Python in a data analysis context
  • Experience with MPP data warehouse (BigQuery)
  • Experience with data orchestrator (cloud composer)
  • Understanding of industry-standard design patterns for data warehouse data models
  • Experience with cloud environments (GCP) and containerization solutions
  • Experience with source control (Git), CI/CD pipelining, and automated testing
  • Security mindset and understanding of compliances (GDPR, SOX)
  • Excellent communication skills

Benefits For Senior Analytics Engineer

Equity
Medical Insurance
Dental Insurance
Vision Insurance
Mental Health Assistance
Parental Leave
Education Budget
  • Equity for all employees
  • Flexible paid time off and remote work policies
  • Health insurance
  • Pension plan contributions (RRSP)
  • Health and wellness benefit of $500 per year
  • Paid leave and assistance for new parents
  • Mental health online platform and counseling & coaching services
  • Training opportunities
  • Volunteer day
  • Fully stocked kitchen
  • Happy hours with colleagues

Interested in this job?

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