1 day ago
Toronto, CanadaEntry Level
Responsibilities
- Explore, navigate, and interpret complex data to answer business questions and support data-informed decision-making.
- Collaborate with stakeholders and business primes to understand functional requirements.
- Design, prototype, and develop scalable data pipelines and process automation solutions.
- Develop custom AI agents using modern frameworks and build real-time data analytics applications.
- Identify opportunities for improvement and contribute creative, solution-focused enhancements.
- Analyze information and resolve complex technical problems while supporting customer needs.
Requirements
- Bachelor’s degree in Computer Science, Software Engineering, or a related field, or equivalent experience.
- Strong analytical, problem-solving, troubleshooting, and debugging skills.
- Foundational knowledge of programming principles, computing concepts, database design, and API integrations.
- Strong proficiency writing complex SQL queries.
- Practical programming experience with Python, Java, or similar languages.
- Hands-on experience with generative AI tools, prompt engineering techniques, and agentic frameworks such as LangChain.
- Experience with version control systems, specifically Git.
- Preferred qualifications include familiarity with Kafka, Google Cloud Pub/Sub, Elasticsearch, BigQuery, Kubernetes, Docker, BI tools, real-time data pipelines, batch ETL, custom algorithms, pattern recognition, and CI/CD pipeline configuration.
- Adequate knowledge of French is required for positions in Quebec.
Benefits
- Comprehensive compensation and benefits package, including medical, dental, vision, and mental health benefits.
- 35% discount on Bell services and access to exclusive partner offers.
- Regular full-time employment with flexible work hours based on business needs.
- Hybrid work arrangement in Toronto, Canada, with at least three days per week in a Bell office.
- Inclusive and accessible workplace with accommodations available during the hiring process.
Tech Stack
Categories
AI ApplicationsData Engineering
