Sr Data Engineer
Job in
Toronto, Ontario, C6A, Canada
Listed on 2026-08-25
Listing for:
iLink Digital
Full Time
position Listed on 2026-08-25
Job specializations:
-
Software Development
Data Engineering, AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Job Description & How to Apply Below
Job Summary
We are seeking a highly skilled Databricks Engineer with AI/ML experience to design, build, and optimize scalable data and machine learning platforms on Databricks. The role involves end-to-end ownership of data pipelines, ML workflows, and production AI systems.
Key Responsibilities- Design and implement scalable ETL pipelines using Databricks & Spark
- Build Lakehouse architecture using Delta Lake
- Develop and deploy ML models using MLflow
- Implement MLOps pipelines for training, testing, and serving models
- Optimize cluster performance and reduce compute cost
- Build RAG and LLM-based solutions using Mosaic AI
- Integrate analytics with BI tools (Power BI, Tableau)
- Implement data governance using Unity Catalog
- Collaborate with Data Scientists and Business teams
- Ensure data quality, security, and compliance
Mandatory
- 5+ years of Databricks & Apache Spark
- Strong Python & Py Spark
- Experience with Delta Lake & Lakehouse
- MLflow & MLOps experience
- Cloud platform (AWS/Azure/GCP)
- Git & CI/CD
Preferred
- Experience with LLMs & Generative AI
- RAG pipelines & Vector Databases
- Deep Learning frameworks
- Databricks certifications
- Power BI integration
Job Summary
We are seeking a highly skilled Databricks Engineer with AI/ML experience to design, build, and optimize scalable data and machine learning platforms on Databricks. The role involves end-to-end ownership of data pipelines, ML workflows, and production AI systems.
Key Responsibilities- Design and implement scalable ETL pipelines using Databricks & Spark
- Build Lakehouse architecture using Delta Lake
- Develop and deploy ML models using MLflow
- Implement MLOps pipelines for training, testing, and serving models
- Optimize cluster performance and reduce compute cost
- Build RAG and LLM-based solutions using Mosaic AI
- Integrate analytics with BI tools (Power BI, Tableau)
- Implement data governance using Unity Catalog
- Collaborate with Data Scientists and Business teams
- Ensure data quality, security, and compliance
Mandatory
- 5+ years of Databricks & Apache Spark
- Strong Python & Py Spark
- Experience with Delta Lake & Lakehouse
- MLflow & MLOps experience
- Cloud platform (AWS/Azure/GCP)
- Git & CI/CD
Preferred
- Experience with LLMs & Generative AI
- RAG pipelines & Vector Databases
- Deep Learning frameworks
- Databricks certifications
- Power BI integration
Note that applications are not being accepted from your jurisdiction for this job currently via this jobsite. Candidate preferences are the decision of the Employer or Recruiting Agent, and are controlled by them alone.
To Search, View & Apply for jobs on this site that accept applications from your location or country, tap here to make a Search:
To Search, View & Apply for jobs on this site that accept applications from your location or country, tap here to make a Search:
Search for further Jobs Here:
×