We are seeking a skilled

Data Engineer to join our Engineering team. In this role, you will design, build, and maintain scalable data pipelines and platforms that support business intelligence, analytics, and AI-powered applications. You will work closely with software engineers, product teams, and business stakeholders to deliver reliable, high-quality data solutions while contributing to the evolution of our enterprise data architecture.

Key Responsibilities

- Design, develop, and maintain scalable ETL/ELT pipelines using Python.

- Build and optimize enterprise data lakes, warehouses, and lakehouse solutions.

- Develop data pipelines that support analytics, AI/ML, vector databases, and Retrieval-Augmented Generation (RAG) applications.

- Implement data quality, validation, lineage, and governance processes.

- Optimize data storage, processing, and cloud infrastructure for performance and cost efficiency.

- Collaborate with cross-functional teams to deliver scalable data solutions.

- Leverage AI-assisted development tools to improve engineering productivity and code quality.

Qualifications





- Bachelor's degree in Computer Science, Software Engineering, Data Engineering, or a related discipline.

- 5+ years of experience designing and supporting production data pipelines.

- Strong proficiency in

Python and

SQL

.

- Experience with modern data platforms such as

Snowflake

,

Databricks

, or

Microsoft Fabric

.

- Experience with cloud platforms including

Azure

,

AWS

, or

Google Cloud Platform

.

- Hands-on experience with workflow orchestration tools such as

Apache Airflow or

Azure Data Factory

.

- Solid understanding of data modeling, governance, and data quality best practices.

Preferred Qualifications

- Experience with

Docker

,

Kubernetes

, and Infrastructure as Code.

- Experience building data solutions for AI, machine learning, or Generative AI applications, including vector databases and RAG architectures.

- Familiarity with AI-powered software development tools and up-to-date engineering practices.

📌 Data Engineer (Toronto)
🏢 Agam Capital
📍 Toronto