GCP Data Engineer

TELUS Digital•, ON

About The Position

The TELUS AI Office, part of the TELUS CIO office, is responsible for all Data and AI related work. Telus is charting a new course in healthcare by connecting patients and providers through its award-winning Collaborative Health Record (CHR), an end-to-end, secure, cloud-based digital platform. The Support and Implementation team offers high exposure to diverse, challenging, and rewarding opportunities while working on leading-edge technologies. This team is responsible for the development, operational readiness, and support of TELUS Health Electronic Medical Records platforms. As a new 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 the enhancement of infrastructure and data initiatives to provide real-time health alerts for frontline and support teams, aiming to quickly identify problems, reduce mean time to repair, and provide after-action reports to enhance understanding of service health status.

Requirements

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
Willingness to learn and become an expert in new technologies
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

Nice To Haves

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.

Responsibilities

Utilize DevOps principles to evaluate current and new solutions.
Discover, evaluate, and provide Data engineering support to EMR platforms.
Enhance infrastructure and data initiatives to provide real-time health alerts.
Identify problems quickly and help reduce mean time to repair.
Provide after-action reports to enhance the understanding of the health status of services.
Lead, inspire, and support team members to drive high performance and team engagement.
Collaborate and foster strong working relationships with internal and external stakeholders.
Provide support to internal customers through the design and implementation of solutions.
Work closely with internal and other teams to ensure requirements are understood and delivered.
Help develop and drive automation opportunities, both on various databases and AWS side.
Continuously improve processes with a relentless pursuit of reliability and efficiency.
Identify and enhance operational support tools & network monitoring solutions.