Position: Databricks Engineer

Location: Mississauga, ON

Work Type: Onsite

Salary: CAD $110k- $115k/Annually

Mandatory Skills:
Azure Databricks
PySpark Apache Spark
Python
SQL
Azure Data Factory ADF
Delta Lake Delta Live Tables DLT
Unity Catalog
Azure Data Lake Storage ADLS Gen2
Databricks Workflows
CICD using Azure DevOps Git
Data Engineering ETLELT Data Warehousing

Positive to Have Skills:
Scala
Azure Synapse Analytics
Snowflake
Airflow
Databricks Asset Bundles
Auto Loader
Terraform
Lakehouse Medallion Architecture
Data Governance Security
Gen AI RAG Vector Search LLM Integrations

Role Summary
Lead the design development and optimization of enterprise scale data platforms using Azure Databricks Drive architecture mentor teams implement scalable data pipelines and ensure performance governance and operational excellence across Azure based data solutions




Explain how you have implemented Delta Lake Delta Live Tables DLT and Unity Catalog in a production Azure Databricks environment What business challenges were addressed
Describe an enterprise scale PySpark based ETLELT solution you designed How did you optimize performance scalability and cost
How have you implemented CICD pipelines for Databricks deployments using Azure DevOps and Git Describe the deployment strategy branching model and release process used.

“We are an equal chance employer. It is our policy to provide employment, compensation, and other advantages related to employment without regard to race, color, religion, sex, gender, national or ethnic origin, disability, veteran status, age, genetic information, citizenship, or any other basis prohibited by applicable federal, state, or local law.”

📌 Databricks Engineer Mississauga
🏢 Rang Technologies
📍 Mississauga