DataOps Cloud Data Engineer - Senior
About the role
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
Not the right fit? Search for DataOps Cloud Data Engineer jobs in Toronto, ON
About The Code Crackers Inc.
The Code Crackers are a community of innovative, forward-thinking professionals dedicated to delivering excellence across the full Software Development Life Cycle (SDLC). Our diverse team—spanning developers, business analysts, product managers, QA engineers, DevOps specialists, and performance testers—collaborates seamlessly to solve complex challenges and bring transformative digital solutions to life.
Driven by a passion for problem-solving, continuous learning, and technical mastery, we combine strategic insight, agile thinking, and the latest tools and technologies to create high-performing, reliable, and scalable systems. From building intuitive user experiences and architecting robust backend infrastructures to implementing CI/CD pipelines and maintaining production-grade environments, we’re the trusted partner behind quality-first digital transformation.
Similar Jobs
DataOps Cloud Data Engineer - Senior
About the role
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
Not the right fit? Search for DataOps Cloud Data Engineer jobs in Toronto, ON
About The Code Crackers Inc.
The Code Crackers are a community of innovative, forward-thinking professionals dedicated to delivering excellence across the full Software Development Life Cycle (SDLC). Our diverse team—spanning developers, business analysts, product managers, QA engineers, DevOps specialists, and performance testers—collaborates seamlessly to solve complex challenges and bring transformative digital solutions to life.
Driven by a passion for problem-solving, continuous learning, and technical mastery, we combine strategic insight, agile thinking, and the latest tools and technologies to create high-performing, reliable, and scalable systems. From building intuitive user experiences and architecting robust backend infrastructures to implementing CI/CD pipelines and maintaining production-grade environments, we’re the trusted partner behind quality-first digital transformation.