GCP Data Engineer

Job description: Join our team The TELUS AI Office, part of the great TELUS CIO office is responsible for all the Data and AI related work. Telus is charting a new course in healthcare by connecting patients and providers through our award-winning Collaborative Health Record (CHR), an end-to-end, secure, cloud-based digital platform that has transformed the antiquated electronic medical record (EMR) into an evolving vehicle for patient engagement and health practice automation. Our modern and user-friendly interface and our devotion to improving patient-provider engagement is the answer for all health practitioners seeking to streamline and modernize their practices through smart, customizable, and automated patient management and engagement tools. Led by physician-technologists and design-obsessed engineers, our customers include the University of British Columbia, the Canadian Mental Health Association, and a rapidly growing portfolio of 2,000+ healthcare providers across Canada, the United States, New Zealand, and Australia. Create better business outcomes with your analytical acumen and creativity. Join our team Our Support and Implementation team offers a high level of exposure to a diverse range of always challenging and ever rewarding opportunities while working on leading edge technologies. Comprised of passionate specialists with a propensity for ongoing success, we are responsible for the development, operational readiness and support of TELUS Health Electronic Medical Records platforms. As the newest member of our team, you will be focusing on work alongside this highly collaborative group of team members as well as several strategic vendor partners. Within this environment you will not only gain valued experience but contribute directly to the optimization and support of TELUS Health Electronic Medical Records platforms. Here’s the impact you’ll make and what we’ll accomplish together As a member of the Data Engineering team you will utilize DevOps principles to evaluate current and new solutions, discover, evaluate, and provide Data engineering support to EMR platforms. Your contributions will directly impact our ongoing pursuit to enhance our infrastructure and data initiatives to provide real time health alerts of our service to be used by our frontline and support teams to quickly identify problems and in turn help reduce mean time to repair and provide after action reports which will enhance the understanding of the health status of our services. Here's how • Willingness to learn and become an expert in new technologies • Leading, inspiring and supporting team members to drive high performance and team engagement • Collaborating and fostering strong working relationships with internal and external stakeholders • Providing support to our internal customers through the design and implementation of solutions. • Working closely with the ours and other teams to ensure requirements are understood and delivered • Helping develop and drive automation opportunities, both on various databases and AWS side • Continuously improving processes and a relentless pursuit of reliability and efficiency • Identify & enhance operational support tools & network monitoring solutions You're the missing piece of the puzzle • Commended for being a fast learner and resourceful • Known for effective time management and ability to work independently and with a team • Research, analytical and problem solving skills • Recognized for your initiative and owning complex issues through to resolution • Experience with DB technologies like Oracle, MySQL, MSSQL, MongoDB • Streaming Architectures: Strong expertise in Apache Flink, and Apache Kafka for real-time data processing. • Data Processing and management: Solid foundation in any single node Python framework. PySpark • Experience in SQL, Stored Procedures, Data Modelling • Experience with cloud infrastructure (any one of GCP and/or AWS with preference to GCP) • Some experience with Terraform coding • Modern Big-Data storage technologies (Iceberg - Preferred, Hudi, Delta) • Good experience with GCP services, specifically DB related, like BigQuery, Cloud Storage, Cloud Dataflow, and Dataproc • Expertise with Data Analytics • Strong sense of business ownership and customer focus • Advanced oral and written English language and communication skills Great-to-haves • Knowledge of and Experience with the following: • Experience in query optimization, resource allocation and management, and data lake performance (Presto, SQL) • Jira, Confluence, Jenkins • Palantir Foundry • Background and practical experience in statistics and/or computational mathematics (Bayesian and Frequentist approaches, NumPy, PyMC3, etc.) • Some experience with AWS services, specifically DB related, like DMS, Glue, Athena, Textract • Linux RHEL and CentOS scripting.