Caylent is an AI-first cloud services company that helps organizations turn ambitious ideas into meaningful business impact. As an AWS Premier Tier Services Partner and a charter member of Anthropic's Claude Partner Network, we combine deep expertise in AWS, artificial intelligence, and Anthropic's Claude platform to help customers modernize their technology, build intelligent products, and move AI from experimentation into production.Our capabilities span generative and agentic AI, cloud migration and modernization, cloud-native application development, data and analytics, DevOps, managed services, security and compliance, and customer experience transformation. At Caylent, our people always come first.We are a fully remote global company with employees in Canada, the United States and Latin America. We celebrate the culture of each of our team members and foster a community of technological curiosity. Come talk to us to learn more about what it means to be a Caylien!The MissionAt Caylent, a Senior Data Engineer is an integral part of a cross-functional delivery team implementing data management solutions on AWS for our customers. You will work hands-on to define RDS data sources, develop ETL jobs, and manage data warehouses and lakehouse platforms, including Databricks-based environments. You will participate in daily standups with your team and in regular agile ceremonies with the customer. Your manager will meet with you weekly for a 1:1 to guide your career and help you make the most of your time at Caylent.Your AssignmentDeliver complex data platform components or migration solutions independentlyTroubleshoot performance, scalability,



and reliability issuesContribute to solution design and engineering standardsCommunicate technical topics clearly to peers and stakeholdersProduce high-quality documentation and implementation reviewsRequired Technical CompetenciesPlatform Development Focus:Strong experience building scalable cloud-native data platforms and pipelinesAdvanced knowledge of modern data lake/lakehouse practicesHands-on experience with distributed processing (Spark/PySpark or equivalent)Hands-on experience with Databricks, including notebooks, job orchestration, Delta Lake, and working knowledge of Unity Catalog, or a comparable managed lakehouse platformExperience with streaming or event-driven ingestion patternsPython with solid engineering principles (OOP, testing)Migration & Modernization Focus:Robust expertise in relational databases and schema designAdvanced query optimization and performance troubleshootingExperience executing large-scale migrations and modernization efforts, including migrations onto DatabricksKnowledge of HA/DR patterns, security, and cost optimizationAutomation and scripting for migration workflowsAcross Both:Infrastructure-as-code and CI/CD integrationCloud security fundamentalsCost-aware designExperience Requirements4+ years of RDBMS or big data engineering experience2+ years of AWS-based implementations1+ years of hands-on Databricks experience (or equivalent lakehouse platform)LanguageUpper-Intermediate English (minimum B2)Benefits100% remote workGenerous holidays and flexible PTOCompetitive phantom equityPaid for exams and certificationsPeer bonus awardsState of the art laptop and toolsEquipment & Office StipendIndividual professional development planAnnual stipend for Learning and DevelopmentWork with an amazing worldwide team and in an incredible corporate cultureNOTE: We're unable to provide visa sponsorship now or at any time in the future.We are committed to fair, transparent, and inclusive hiring practices. As part of our recruitment process, we may use artificial intelligence (AI) tools or automated systems to assist with the screening and evaluation of applications to help match candidate qualifications with job requirements. These tools are designed to support - not replace - human decision-making. Final hiring decisions are always made by our trained recruitment professionals. If an AI or automated tool is used during your application process, it will only be in accordance with applicable laws and regulations, and your information will be handled in a secure and confidential manner.If you have any questions, please contact [email protected] is a place where everyone belongs. We celebrate diversity and are committed to creating an inclusive environment for all employees. Our approach helps us to build a winning team that represents a variety of backgrounds, perspectives, and abilities. So, regardless of how your diversity expresses itself, you can find a home here at Caylent.We are proud to be an equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, color, religion, national origin, sex (including pregnancy), sexual orientation, gender identity, gender expression, age, veteran status, gene

📌 Senior Data Engineer - Databricks (Quebec City)
🏢 Caylent
📍 Quebec City