Data Engineer Purpose: Over 15 years, we have become a premier global provider of multi-cloud management, cloud-native application development solutions, and strategic end-to-end digital transformation services. Headquartered in Canada and with regional headquarters in the U.S. and the United Kingdom, Centrilogic delivers smart, streamlined solutions to clients worldwide. We are looking for passionate and experienced Data Engineer to work with our other 70 Software, Data and DevOps engineers to guide and assist our clients’ data modernization journey. Our team works with companies with ambitious missions - clients who are creating new, innovative products, often in uncharted markets. We work as embedded members and leaders of our clients development and data teams. We bring experienced senior engineers, leading-edge technologies and mindsets, and creative thinking. We show our clients how to move to the modern frameworks of data infrastructures and processing, and we help them reach their full potentials with the power of data. In this role, youll be the day-to-day primary point of contact with our clients to modernize their data infrastructures, architecture, and pipelines. Principal Responsibilities: Consulting clients on cloud-first strategies for core bet-the-company data initiatives Providing thought leadership on both process and technical matters Becoming a real champion and trusted advisor to our clients on all facets of Data Engineering Designing, developing, deploying, and supporting the modernization and transformation of our client’s end-to-end data strategy, including infrastructure, collection, transmission, processing, and analytics Mentoring and educating client’s teams to keep them up to speed with the latest approaches, tools and skills, and setting them up for continued success post delivery Required Experience and Skills: MUST have either Databricks Data Engineer Professional or Microsoft Certified Azure Data Engineer Associate, along with Fabric Data Engineer Associate; MUST have past experience working in consulting or contracting capacity in large data management and modernization programs; Experience with data engineering, on platforms such as Azure Data Factory, Databricks, Data Lake, and Synapse; Strong knowledge and demonstrated experience with Delta Lake and Lakehouse Architecture; Strong knowledge of securing Azure environment, such as RBAC, Key Vault, and Azure Security Center; Strong knowledge of Kafka and Spark and extensive experience using them in a production environment; Strong knowledge of Confluent Platform and Confluent Cloud; Strong knowledge of Scala or Python; Strong knowledge of Linux administration and networking; Scripting skills and Infrastructure as Code (IaC) experience using PowerShell, Bash, and ARM templates; Understanding of security and corporate governance issues related with cloud-first data architecture, as well as accepted industry solutions; Experience in enabling continuous delivery for development teams using scripted cloud provisioning and automated tooling; Experience working with Agile development methodology that is fit for purpose; Sound business judgment and demonstrated leadership
Job Title
Data Engineer