Data Engineer at TELUS, responsible for leveraging AI and data to automate processes and enhance efficiency. Collaborating across teams to drive business outcomes in a remote setting.
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.
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.
You are comfortable with a high level of ambiguity and possess a continuous improvement mindset.
You enjoy quantitative analysis and have a reputation for being a problem-solver and creative thinker.
You have the ability to maintain high workloads, including the management of competing priorities and multiple projects at once.
You have experience in successfully launching new products
You have experience in using Google BigQuery and Looker for building applications
Any experience in UI/Web page/Bot development would be nice to have.
You can speak and write in French fluently (nice to have).
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