IW
Cloud Data Engineer
Info Way Solutions LLC
Location not stated
Staff / Principal
11 months ago
- Machine Learning
- Risk Management
- MLOps
- Apache Spark
- Hadoop
- AWS Glue
- AWS
- EMR
- Snowflake
- Azure Databricks
- Azure Data Factory
- CI/CD
- Azure
- React.js
- Angular
- FastAPI
- Flask
- Node.js
- Spring Boot
- AWS SageMaker
11 months ago
Cloud Data Engineer
Toronto ON (4 days 1 Remote)
Job Description:
We're seeking a Lead Data Solutions Engineer focused on building and scaling data-driven systems that enable advanced analytics, machine learning, and impactful business decisions. You will play a key role in shaping our next-generation trading decisioning and risk management platform, and lead by example in applying sound architectural thinking, engineering rigor, and technical mentorship. This role combines data engineering, MLOps and front-end development, offering a unique opportunity to work across entire Data and ML pipeline.
What will you do?
Lead by Doing: Design, build, and review scalable data pipelines, analytics platforms, and ML systems. This is a hands-on role with end-to-end ownership, with significant time doing coding.
Set Technical Direction: Define and promote best practices in data and ML engineering. Evaluate emerging technologies and guide adoption to drive innovation.
Partner Cross-Functionally: Work closely with data scientists, business leaders, and IT teams to understand needs and translate them into technical solutions.
Deliver at Scale: Ensure projects are executed with high quality, on time, and aligned with business goals. Proactively identify risks and enforce compliance standards, especially around data governance and security.
What do you need to succeed?
Must Have:
- 7+ years of experience in designing and building high performance data- heavy backend applications with deep understanding of distributed systems.
- 5 + years hands on experience with big data tools (e.g. Apache Spark/Hadoop/ AWS Glue/ AWS EMR/Snowflake/Azure Databricks/Azure Data Factory)
- Strong understanding of the ML lifecycle and MLOps practices, including model deployment, monitoring, and CI/CD pipelines.
- Proven experience in cloud platforms like AWS or Azure, with knowledge of scalable architecture patterns.
- Familiarity of front-end frameworks (e.g. React, Angular) and backend frameworks like FastAPI, Flask, Node.js, Spring boot.
- Excellent communication skills—able to clearly explain complex technical concepts to both technical and non-technical audiences.
- Bachelor's degree in computer science, Engineering, or a related field; Master's or PhD preferred.
- Hands-on experience with AWS SageMaker, LLM deployments
- Experience in full-stack development
Cloud Data Engineer · Info Way Solutions LLC