Senior DataOps Engineer: Cloud Data & Databricks Expert

Source Code; Toronto; On-site; CAD 117,000 - 141,000; Full time

Job summary

Source Code is seeking a Sr. DataOps/Cloud Data Engineer in Toronto for onsite work at 5700 Yonge St. The role focuses on building data pipelines and data models for warehouses and lakehouses using Databricks, AWS Glue, and related tools.

Collaboration across teams will be key. The position requires expertise with data lakehouses, cloud storage, and multiple formats (CSV/JSON/XLSX). Compensation aligns with market rates for senior data engineers in Toronto, with a strong emphasis on exceptional

Qualifications

• Experience with data lakehouse solutions and Databricks (Delta Lake).
• Experience with CSV/JSON/XLSX and relational databases and cloud storage.
• Experience using AWS services: Glue, Step Functions, Lambda, S3.
• ETL/ELT design and data integration experience.

Responsibilities

• Design, develop, test, implement, and troubleshoot data pipelines using Databricks, Azure Data Factory, AWS Glue.
• Develop data models for data warehouses and lakehouses.

Skills

Data lakehouse

Databricks

ETL/ELT

Data Pipelines

SQL

Cloud storage

Relational databases

Python/Scala

Tools

Databricks

AWS Glue

Azure Data Factory

Informatica IDMC

Lambda

S3

Step Functions

Delta Lake

Job description

Source Code is seeking a Sr. DataOps/Cloud Data Engineer in Toronto for onsite work at 5700 Yonge St. The role focuses on building data pipelines and data models for warehouses and lakehouses using Databricks, AWS Glue, and related tools.

Collaboration across teams will be key. The position requires expertise with data lakehouses, cloud storage, and multiple formats (CSV/JSON/XLSX). Compensation aligns with market rates for senior data engineers in Toronto, with a strong emphasis on exceptional