Toronto, ON, Canada

Contract

Workspace

On-Site

Start Date

2026-06-01

APPLICATIONS FOR THIS POSITION ARE NOW CLOSED

Job Type

Client

Health Services Cluster

Hourly Wage

73-85

End Date

2027-10-05

Job Description

Responsibilities:
Design, develop, test, implement, and troubleshoot:

• data pipelines using various tools such as Databricks, Azure Data Factory, AWS Glue

• complex data transformation procedures

• data models for data warehouses and lakehouses

• Skills

• Experience and Skill Set Requirements

Data engineering Experience
Programming & scripting: Python, SQL, Linux shell, PowerShell.
Data manipulation/analysis using pandas and pyspark.
Working with XLSX, CSV, JSON files, relational databases, cloud storage, structured and unstructured data
40%
Cloud experience
AWS and/or Azure services.
Cloud data warehouse solutions such as AWS Redshift.
Data lakehouse solutions such as Databricks (Delta Lake).
Data processing orchestration/automation
25%
Data Warehouse
ETL tools (such as Azure Data Factory, AWS Glue) as well as cloud agnostic tools such as Informatica IDMC.
Data modeling & architecture: relational and dimensional modeling.
Data reporting/visualization.
25%
Other Skills
Full SDLC from requirements gathering, design, implementation, testing to deployment and production support
Project management (agile/scrum and waterfall)
Change and Incident management
Communication, presentation and negotiation skills
Consulting, problem-solving and decision-making skills
5%
Public Sector
Experience working in OPS and/or public sector in general
5%

• Supplier Comments

Closing Date/Time: 2026-05-19, 12:00 p.m.
Max submission: 1 (one)
5 days onsite

Assignment Type: This position is listed as Onsite; the resource is expected to work 7.25 hours per calendar day between the standard working hours of 8:00-5:00 PM (excluding lunch breaks) every Monday to Friday inclusive at the identified OPS office location.

MUST HAVES:

• Data engineering (pandas, pyspark)

• Data lakehouse solutions such as Databricks (Delta Lake).

• Working with XLSX, CSV, JSON files, relational databases, cloud storage, structured and unstructured data

• Experience using AWS Services such as Glue, StepFunctions, Lambda, S3

• Extract/Transform/Load data using tools such as Informatica IDMC

MUST HAVES