HDO Data Engineer/Developers

TELUS Digital

3d

About The Position

As a Data Engineer, You’ll get in on the ground floor of a high-profile business at TELUS Health and contribute to a new area of the organization. This career-shaping opportunity will allow you to work with many teams across the organization including PMO, Marketing, Sales, Finance, Engineering, and the health leadership teams. You will be responsible for using data and AI to drive business outcomes. You will work closely with multiple vendors to create quick MVPs and push them to production.

Requirements

• University degree in Computer Science, Data Science, or a related field.
• Extensive experience using and implementing various LLM Models.
• Experience as a Data Engineer or similar role, working on data transformation and AI related projects.
• Strong programming skills in Python for data manipulation, analysis, and automation.
• Strong business acumen.
• Strong problem-solving and analytical skills.
• Excellent communication and collaboration skills to work effectively with cross-functional teams.
• Comfortable with a high level of ambiguity and possess a continuous improvement mindset.
• Enjoy quantitative analysis and have a reputation for being a problem-solver and creative thinker.
• Ability to maintain high workloads, including the management of competing priorities and multiple projects at once.
• Experience in successfully launching new products.
• Experience in using Google BigQuery and Looker for building applications.

Nice To Haves

• Any experience in UI/Web page/Bot development would be nice to have.
• You can speak and write in French fluently (nice to have).

Responsibilities

• Design & develop applications & solutions to automate processes and increase efficiency using power of AI & data.
• Design, develop, and maintain data pipelines.
• Implement and optimize GenAI LLM models to enhance data analysis and predictive capabilities.
• Collaborate with cross-functional teams to identify and prioritize quick win opportunities for data-driven insights and improvements.
• Ensure data quality and integrity by implementing data validation and cleansing processes.
• Collaborate with Data Scientists and Machine Learning Engineers to deploy and operationalize AI models.
• Monitor and troubleshoot data pipelines and resolve any issues or bottlenecks.
• Stay up-to-date with the latest trends and advancements in data engineering, AI, and machine learning technologies.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level