Data Engineer

Opportunity We are seeking a talented Data Engineer to join our rapidly expanding Centralized Data Hub. This strategic initiative transforms how our organization manages and leverages data at scale, and as a key contributor you will help build the backbone for enterprise‑wide data operations. What Makes This Opportunity Unique Cutting‑Edge Tech Stack: work with modern tools and frameworks, implementing industry best practices in data architecture, streaming and batch processing.

High‑Impact Project: play a pivotal role in a high‑visibility, heavily invested project that receives executive attention. Career Acceleration: gain hands‑on experience with modern data engineering patterns, Lambda architecture and distributed systems at scale. Innovation‑Driven Culture: join a team that prioritizes code quality, automation and continuous improvement.

Key Responsibilities Build scalable data pipelines and integration frameworks. Design and implement robust data models and schemas. Develop real‑time streaming and batch processing solutions.

Establish data governance and quality standards. Collaborate with cross‑functional teams to deliver data‑driven solutions. Qualifications Must‑have Education: degree in Computer Science or a related field preferred.

Proficiency in Python and object‑oriented development. Experience with NoSQL databases (MongoDB) and relational databases. Hands‑on experience with Apache Kafka for streaming data.

Familiarity with data pipeline orchestration tools (Dagster, Airflow, Luigi, etc.). Experience with containerization and orchestration tools (Docker, Kubernetes). Proficiency with Git version control.

Nice to have Experience with Apache Hadoop, YARN, and Spark. Experience with Polars or Pandas. Benefits Participate in fun events and gamification challenges to build your career toolkit while enjoying work‑life balance.

Leaders who support your development through coaching and learning opportunities. Work in a dynamic, collaborative, progressive and high‑performing team. Ability to make a significant, lasting impact.

Enjoy a comfortable, casual work environment. Location: RBC Waterpark Place, 88 Queens Quay W, Toronto, Canada. Work hours: 37.5 hours per week.

Employment type: Full time. Pay type: Salaried. #J-18808-Ljbffr