Senior Analytics Engineer

6 days ago

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Lightspeed (Formerly SEOshop)

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SEOshop is now part of the Lightspeed family$1. !$1

Webshop platform • E-commerce • hosting • customer support • apps

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Description

•Build data pipelines and data models to provide insights to stakeholders. •Collaborate with data analysts and data architects to design data models. •Ensure data quality and usability across the organization. •Write, clean, and maintain SQL/Python queries/scripts. •Automate the testing of data models and monitor their quality. •Provide technical leadership on data solutions that are future-focused. •Continuously improve the data pipeline with the team. •Adopt and teach software engineering best practices. •Define and improve internal standards for data infrastructure.

Requirements

•Proficient skills with SQL. •Good knowledge of Python in a data analysis context. •Ability to break down complex projects into smaller stories to help other team members & themselves deliver. •Experience with MPP data warehouse (we use BigQuery). •Experience in performing data profiling, data mapping, and data quality validation. •Experience with data orchestrator (we use cloud composer). •A good understanding of industry-standard design patterns for data warehouse data models. •Experience with cloud environments (in particular GCP) as well as containerization solutions as a user. •Experience with source control using Git or equivalent, CI/CD pipelining, and writing automated unit and functional tests. •A security mindset - should be able to understand compliances (GDPR, SOX, ...). •Excellent communication skills

Benefits

•Lightspeed equity scheme (we are all owners). •Flexible paid time off and remote work policies. •Health insurance. •Contributions to your pension plan - 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 to grow your skills and career •Volunteer day. •Fully stacked kitchen (hot and cold beverages, meals served) •Happy hours to build your relationships with colleagues after work