Python Developer - Data

<p><strong>About Highspring</strong> </p><p>Highspring is a consulting and professional services firm helping organizations deliver modern, scalable, and agile technology solutions across North America. Our team partners with clients to solve complex business challenges through innovative engineering, cloud modernization, and data driven transformation. We are committed to delivering exceptional results while fostering a collaborative and growth oriented culture.</p><p> </p><p><strong>The Opportunity</strong> </p><p>Highspring is seeking a <strong>Python Developer</strong> to support one of our Montreal-based partners in designing, building, and optimizing modern data pipelines. This role is ideal for someone who excels in Python development, brings hands-on Databricks expertise, and thrives in dynamic, cloud-driven environments.</p><p> </p><p><strong>What You'll Do</strong></p><ul><li>Design, develop, and optimize scalable data pipelines and ETL processes using <strong>Python</strong> and <strong>Databricks</strong></li><li>Implement robust data ingestion, transformation, and integration workflows across structured and unstructured sources</li><li>Collaborate with data architects, analysts, and business teams to understand data requirements and deliver high-quality solutions</li><li>Build and maintain reusable, well-documented code aligned with engineering best practices</li><li>Monitor, troubleshoot, and enhance data pipelines to ensure reliability and performance</li><li>Contribute to data governance, quality standards, and security compliance</li><li>Participate in Agile ceremonies and provide technical insights to improve overall delivery</li></ul><p><br></p><p><strong>What You Bring to the Table</strong></p><ul><li>Strong programming skills with <strong>Python</strong>, including testing, packaging, and version control</li><li>Proven experience as a <strong>Data Engineer</strong> in a cloud or modern data ecosystem</li><li>Hands-on expertise with <strong>Databricks</strong>, including Spark-based pipelines and Delta Lake</li><li>Familiarity with cloud platforms (Azure, AWS, or GCP)</li><li>Strong communication skills in <strong>both English and French</strong></li><li>Ability to work in a collaborative consulting environment supporting client-facing projects</li></ul><p><br></p><p><strong>Core Skills Required</strong></p><ul><li>Python (Pandas, PySpark)</li><li>Databricks / Spark</li><li>ETL / ELT pipeline development</li><li>SQL and relational/non-relational data modeling</li><li>Data orchestration tools (Airflow, ADF, Databricks Jobs, etc.)</li><li>Version control (Git)</li></ul><p><br></p><p><strong>Why Join Highspring</strong></p><ul><li>Work on impactful, modern engineering projects across multiple industries</li><li>Join a collaborative team that values innovation, curiosity, and continuous learning</li><li>Access growth opportunities, mentorship, and career development pathways</li><li>A culture that prioritizes people, quality craftsmanship, and meaningful problem solving</li></ul><p>------------------------------------------------------ </p><p><strong>À propos de Highspring</strong> </p><p>Highspring est une firme de consultation et de services professionnels qui aide les organisations à livrer des solutions technologiques modernes, évolutives et agiles partout en Amérique du Nord. Nous collaborons avec nos partenaires pour résoudre des enjeux d'affaires complexes grâce à l'ingénierie, la modernisation infonuagique et l'exploitation avancée des données. Notre culture mise sur la collaboration, l'excellence et l'innovation. </p><p><br></p><p><strong>L'Opportunité</strong> </p><p>Highspring est à la recherche d'un·e <strong>Développeur.euse Python</strong> pour soutenir un partenaire basé à Montréal. La personne idéale possède une solide expérience en développement Python, une maîtrise de Databricks et un intérêt marqué pour les environnements infonuagiques et les architectures modernes de données.</p><p><br></p><p><strong>Vos Responsabilités</strong></p><ul><li>Concevoir, développer et optimiser des pipelines de données et des processus ETL à l'aide de <strong>Python</strong> et <strong>Databricks</strong></li><li>Mettre en place des flux d'ingestion, de transformation et d'intégration pour des données structurées et non structurées</li><li>Collaborer avec les équipes d'architecture, d'analyse et d'affaires pour comprendre les besoins et livrer des solutions de qualité</li><li>Maintenir un code réutilisable, bien documenté et conforme aux meilleures pratiques</li><li>Assurer la surveillance, le dépannage et l'amélioration continue des pipelines pour garantir leur performance</li><li>Contribuer aux pratiques de gouvernance, de qualité et de sécurité des données</li><li>Participer aux cérémonies Agile et proposer des recommandations techniques</li></ul><p><br></p><p><strong>Ce que vous apportez</strong></p><ul><li>Excellentes compétences en développement <strong>Python</strong></li><li>Expérience avérée comme <strong>Ingénieur·e de Données</strong> dans un environnement infonuagique ou moderne</li><li>Maîtrise de <strong>Databricks</strong> et des pipelines Spark/Delta Lake</li><li>Connaissance d'une plateforme infonuagique (Azure, AWS ou GCP)</li><li>Communication efficace <strong>en anglais et en français</strong></li><li>Capacité à travailler dans un environnement de consultation et avec des équipes multidisciplinaires</li></ul><p><br></p><p><strong>Compétences Essentielles</strong></p><ul><li>Python (Pandas, PySpark)</li><li>Databricks / Spark</li><li>Développement de pipelines ETL/ELT</li><li>SQL et modélisation de données</li><li>Outils d'orchestration (Airflow, ADF, Databricks Jobs, etc.)</li><li>Gestion de versions (Git)</li></ul><p><br></p><p><strong>Pourquoi joindre Highspring</strong></p><ul><li>Participer à des projets modernes et stimulants dans divers secteurs</li><li>Travailler au sein d'une équipe collaborative axée sur l'innovation</li><li>Profiter d'opportunités de croissance, d'apprentissage et de mentorat</li><li>Faire partie d'une culture qui valorise les gens, la qualité et la résolution concrète de problèmes</li></ul><p></p>

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