{"id":1684354,"url":"https://alion.io/job/alithya-data-analyst-databricks","title":"Data Analyst, Databricks","company":{"id":58179,"name":"Alithya","domain":"alithya.com","url":"https://alion.io/company/alithya","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"B","score":75,"open_postings":9,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":29,"computed_at":"2026-10-25T05:49:26Z"}},"role":"Analytics","role_family":"Analytics","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Canada"],"countries":["CA"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":52000,"max_usd":92000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":133},"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Azure","optional":false},{"name":"Azure DevOps","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"MS SQL","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"Scrum","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"SSAS","optional":false},{"name":"SSIS","optional":false}],"status":"live","first_seen_at":"2026-05-11T19:09:33Z","employer_posted_date":"2026-05-11","last_verified_at":"2026-10-25T22:37:44Z","board_verified":true,"closed_at":null,"days_open":167,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":166},"description":"This job posting is available in French only due to the location of publication.\nVotre rôle, votre impact\nEn tant qu’analyste de données, Databricks, vous participerez à la mise en place et à l’évolution de solutions analytiques modernes dans des environnements infonuagiques. Vous contribuerez activement à la transformation et à la valorisation des données en soutenant des cas d’usage critiques liés à la performance opérationnelle et à la prise de décision.\nVous intégrerez une équipe multidisciplinaire et collaborative œuvrant dans un contexte de modernisation des plateformes de données, avec un accent sur les bonnes pratiques d’ingénierie, la qualité des données et l’automatisation des processus.\n Votre quotidien\nConcevoir, développer et maintenir des pipelines de données robustes et performants sur Databricks;\n\nParticiper à l’ingestion, à la transformation et au chargement des données dans une architecture de type Data Lake / Lakehouse;\n\nDévelopper des traitements de données en Python et Spark pour soutenir les besoins analytiques;\n\nContribuer à la mise en place de nouveaux modèles d’ingestion et de transformation de données;\n\nCollaborer à la définition et à l’application des meilleures pratiques en matière de qualité des données;\n\nIntégrer les solutions dans des pipelines DevOps (CI/CD) et automatiser les processus de déploiement;\n\nAssurer la cohérence, la documentation et le transfert de connaissances au sein de l’équipe;\n\nParticiper activement aux rituels Agile (Scrum) et aux activités de coordination technique.\n\n Les clés de votre réussite\nMinimum de 4 à 6 ans d’expérience en ingénierie de données;\n\nExpérience récente et concrète avec Databricks;\n\nExpérience en développement avec SQL, Spark et Python;\n\nExpérience avec les outils de gestion de version et CI/CD (ex. Azure DevOps);\n\nExpérience significative en développement de solutions de données pour des plateformes analytiques;\n\nExpérience avec des environnements infonuagiques (Azure ou équivalent);\n\nExcellente maîtrise de SQL, Spark et Python;\n\nBonne compréhension des concepts d’intelligence d’affaires (ETL, modélisation dimensionnelle, data marts);\n\nEsprit analytique, autonomie et capacité à gérer plusieurs priorités dans un environnement dynamique;\n\nBonnes habiletés de collaboration et de travail en équipe.\n\nVos atouts supplémentaires\nConnaissance des outils de la suite BI Microsoft (T-SQL, SSIS, SSAS, SSRS, Power BI);\n\nExpérience en modernisation de plateformes analytiques ou migration vers le cloud;\n\nConnaissance des frameworks de tests (ex. 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