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Added 23 days ago
TC
Senior DevOps
TMC Canada
Montreal, QC
- Full-time
Ingénieur DevOps / SRE Senior | Senior DevOps / Site Reliability Engineer
Added 23 days ago
D
Manager: Technical Lead/Senior Developer- AI, Data & Analytics- AIDA (Toronto/Calgary)
Deloitte
Toronto, ON
- Full-time
…automation to generative and agentic AI experiences that integrate with enterprise data and systems. We are looking for a senior technical leader who can turn business problems into…
Added 23 days ago
KD
Engineering Lead
Karbon Digital
Toronto, ON
- Full-time
This is not a traditional management role. You'll be the senior engineering leader responsible for architecture, product execution, AI platform development, and building a world-class…
Added 23 days ago
I
Winter 2027: Software Developer Co-op (8 months)
Intuit
Toronto, ON
- Full-time
Ability to work in our Toronto office a minimum of 3 days per week
Added 23 days ago
L
Senior BI Platform Operations Engineer
Luxoft
Toronto, ON
- Contract
…our enterprise Business Intelligence platforms and associated AWS…
Added 24 days ago
ZC
Machine Learning Engineer
Zurich Canada
Toronto, ON
- Full-time
Are you looking for a caring, collaborative, values-driven workplace with inspiring teammates and leaders? Do you have the ambition and desire to be the best and thrive at the most…
Added 24 days ago
ZC
Machine Learning Engineer
Zurich Canada
Waterloo, ON
- Full-time
Are you looking for a caring, collaborative, values-driven workplace with inspiring teammates and leaders? Do you have the ambition and desire to be the best and thrive at the most…
Added 24 days ago
C
Senior Enterprise Architecture Consultant – Enterprise Modernization
CGI
Vancouver, BC
- Full-time
The Senior Enterprise Architecture Consultant provides technical leadership to senior engineers and stream architects, balancing near term delivery needs with long term architectural…
Added 24 days ago
TH
Product Manager, Advanced Analytics, Tim Hortons, Canada
Tim Hortons
Toronto, ON
- Full-time
Candidates will be expected to work onsite 5 days per week out of our office in Toronto, ON
Added 24 days ago
V
Senior DevOps Engineer
VXG
Toronto, ON
- Full-time
Hands-on expertise with AWS services: EC2, AutoScaling, CloudWatch, RDS, S3, CloudFormation.
Added 24 days ago
SL
Senior Security Platform Developer, Security Automation (Python, Splunk SOAR)
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Toronto One York
- Full-time
…security platforms, the team develops solutions using Splunk SOAR, Python, APIs, and related technologies. Our automation helps monitor the health and configuration of security platforms,…
Added 24 days ago
D
Senior Software Developer
DNV
Toronto, ON
- Full-time
The Senior Software Developer is responsible for designing, developing, and maintaining data services, APIs, backend systems, and AI-ready data foundations that support scalable platform…
Added 24 days ago
C
Senior Data Scientist
Capgemini
Kamloops, BC
- Full-time
Must Have Skills
Added 24 days ago
C
Senior Data Scientist
Capgemini
Kamloops, BC
- Full-time
Must Have Skills
Added 24 days ago
MC
Data Analyst – Power BI Microsoft Fabric (35903)
Myticas Consulting
Ottawa, ON
- Full-time
Reporting to a senior technology leader and working closely with a Data Architect, you will design and maintain dashboards, reports, data models and analytical solutions using Microsoft…
Added 24 days ago
DevOps Engineer
Hasbro
Montreal, QC
Hands-on infrastructure-as-code experience (AWS CDK, CloudFormation, Terraform, Pulumi, etc.). You treat infrastructure changes with the same care as code changes.
Added 24 days ago
C
FinOps Architect – Cloud, AI & On-Premises Infrastructure
CGI
Montreal, QC
- Full-time
Lead remediation initiatives with client teams, automate optimizations and measure realized savings.
Added 24 days ago
OR
Network Engineer
OSL Retail Services Inc
Mississauga, ON
- Other
Proven track record implementing hybrid cloud networks with Microsoft Azure (AWS/GCP experience is a bonus).
Added 24 days ago
TT
Senior SRE / Observability Engineer – IA & AI Ops - Bilingual
Tech Talent International
Montreal, QC
- $120,000 to $130,000 CAD / year
- Full-time
Location: Hybrid - Montreal, QC -(2/3 days per week onsite)
Added 24 days ago
FF
Senior Penetration Tester
Forward Financing
Remote, Canada
- $145,000 to $183,000 CAD / year
- Full-time
- Remote
As a Senior Penetration Tester, you'll find the vulnerabilities in Forward Financing's software before an attacker does. You'll pentest our core systems along with the AI systems and agents…
Added 24 days ago
KI
Senior QA Engineer
KPG99 INC
Toronto, ON
- Full-time
Hands-on experience with test automation frameworks (e.g., Selenium, Pytest, or similar)
Added 24 days ago
E
Developpeur logiciel de produits etudiant
Ericsson
Montreal, QC
- Full-time
Familiar with at least one programming/scripting language (Python, Shell/Bash).
Added 24 days ago
E
Sr. Backend Engineer - Test Automation
eBay
Toronto, ON
- Full-time
We are looking for a Senior Software Engineer with strong backend development experience and a passion for building high-quality, reliable software through automation.
Added 24 days ago
Senior Cloud Security & DevSecOps Engineer
Capgemini
Toronto, ON
Strong experience with AWS and working knowledge of Azure or GCP.
Added 24 days ago
RB
Product Manager, Advanced Analytics, Tim Hortons, Canada
Restaurant Brands International
Toronto, ON · Corp - Toronto Corporate Office
- Full-time
Candidates will be expected to work onsite 5 days per week out of our office in Toronto, ON

Closed listing

S M Software Solutions Inc

RQ11486 – Data Ops/Cloud Data Engineer – Senior

Toronto, ON, Canada

Internship

This opening has closed.

The original listing is kept below for reference.

Find open jobs More jobs with this employer

About employer

Job details

Job type: Internship
Closing date: Nov 19, 2026
Posting language: English
Posted: Oct 20, 2026

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Original job description

Archived listing. The details below describe a past opening.

Client: Ministry of Public and Business Service Delivery and Procurement – RQ11486

We are seeking a Senior Data Ops/Cloud Data Engineer with extensive experience in designing, developing, automating, and optimizing complex data pipelines and cloud-based data platforms. The ideal candidate will have strong hands-on expertise in Databricks, Delta Live Tables (DLT), Unity Catalog or equivalent technologies, Azure Data Factory, advanced SQL, PySpark, data modelling, and enterprise-scale data migration and integration. The successful candidate will be responsible for building and optimizing ETL/ELT processes, implementing CI/CD practices, managing cloud data services, and supporting data engineering initiatives across multiple platforms, including Oracle, Azure Data Lake, Databricks, and Microsoft Fabric.

Role Snapshot

Job Title: RQ11486 – Data Ops/Cloud Data Engineer – Senior
Client: Ministry of Public and Business Service Delivery and Procurement
Work Location: 40 St. Clair Avenue West, Toronto, Ontario, Canada
Work Arrangement: Onsite – 5 Days per Week
Estimated Start Date: October 5, 2026
Estimated End Date: March 31, 2027
Business Days: 123.00
Extension: 60.00
Hours: 7.25 hours per day
Security Level: No Clearance Required

Must Have

Experience designing, building, automating, and optimizing complex data ETL/ELT processes using Databricks, Delta Live Tables (DLT), or equivalent technologies.
Experience developing unified data platforms using Databricks and Unity Catalog or equivalent technologies.
Experience with relational databases, including Oracle, MySQL, and SQL Server; relational and dimensional data modelling; advanced SQL; query optimization; data replication; and database administration.
Advanced SQL skills, including PL/SQL and T-SQL.
Experience with big data processing frameworks, including PySpark.
Proficiency in creating Azure Data Factory pipelines for copy activities and developing custom data pipelines in Databricks with CI/CD using Azure DevOps Git integration.
Experience with data migration and integration across different platforms, including:
- Oracle to Azure Data Lake
- Oracle to Databricks
- Oracle to Microsoft Fabric

Description

To respond to the priorities of the Government of Ontario through the passage of Bill 5, Protect Ontario by Unleashing Our Economy Act, 2025, the resource may be partially assigned to Bill 5-related projects or initiatives on an as-needed basis.

Responsibilities

Design and develop data pipelines from source systems to end users.
Optimize data pipelines.

General Skills

Experience with cloud data platforms, data management, and data exchange tools and technologies.
Experience with commercial and open-source data and database development and management, specializing in data storage settings and managing Cloud Data as a Service (DaaS), application Database as a Service (DBaaS), Data Warehouses as a Service (DaaS), and other storage platforms in both cloud and on-premises environments.
Experience with data pipeline and workflow development, orchestration, deployment, and automation, specializing in programming and pipelines to create and manage data flows and data movement.
Experience as a Cloud Data Engineer, including familiarity with and experience in different programming languages and the ability to integrate multiple platforms to create data pipelines, automate tasks, and write scripts.
Experience with DataOps principles, best practices, implementation, and Agile project development and deployment.
Experience with Continuous Integration/Continuous Development/Deployment (CI/CD) and data provisioning automation.
Experience with digital products, data analysis, data exchange, data provisioning, and data security.
Extensive expert experience in designing, developing, and implementing data conversion and migration of Very Large Data (VLD) across Online Analytical Processing (OLAP) and Online Transaction Processing (OLTP) environments to Cloud Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS) environments.
Experience in the design, development, and implementation of fact/dimension models, data mapping, data warehouses, data lakes, and data lakehouses for enterprise environments.
Experience managing cloud data services for project delivery, including storage, repositories, data lakes, data lakehouses, key vaults, virtual machines, disks, and related services.
Experience with structured, semi-structured, and unstructured data collection, ingestion, provisioning, and exchange; technological development of enterprise data warehouse, data lake, and data lakehouse solutions; and operational support.
Experience with DataOps performance monitoring and tuning.
Excellent analytical, problem-solving, and decision-making skills; verbal and written communication skills; presentation skills; interpersonal skills; and negotiation skills.
A team player with a track record of meeting deadlines.

Desirable Skills And Experience

Data lake design and development, with a focus on extracting and transforming data from various sources and loading it into a lakehouse using medallion architecture.
Advanced skills and hands-on experience with Oracle databases, Azure SQL Server, and Azure Data Factory.
Experience with cloud technologies, including Azure, Google Cloud, and AWS.
Experience with PL/SQL for data extraction, transformation, and loading; initial setup; and other ETL experience, including management and support activities such as troubleshooting, performance tuning, failover, and recovery.
Experience with scripting languages, including Python, Unix shell, and Scala.

Experience And Skill Set Requirements

Mandatory Skills and Experience - 70%

Candidates Must Demonstrate Strong Hands-on Experience In The Mandatory Technical Skills And Responsibilities Outlined In The Must Have And General Skills Sections, Including:

Designing, building, automating, and optimizing ETL/ELT data pipelines using Databricks, Delta Live Tables (DLT), or equivalent technologies.
Developing unified data platforms using Databricks and Unity Catalog or equivalent technologies.
Working with relational databases, data modelling, advanced SQL, PL/SQL, T-SQL, query optimization, data replication, and database administration.
Applying big data processing frameworks, including PySpark.
Developing Azure Data Factory pipelines and custom Databricks data pipelines with CI/CD and Azure DevOps Git integration.
Performing data migration and integration across Oracle, Azure Data Lake, Databricks, and Microsoft Fabric.
Applying DataOps principles, CI/CD, data provisioning automation, cloud data management, pipeline orchestration, performance monitoring, and tuning.
Supporting enterprise-scale data conversion, migration, warehousing, lake, and lakehouse solutions.
Desirable Skills and Experience - 25%
Data lake and lakehouse design and development using medallion architecture.
Advanced hands-on experience with Oracle databases, Azure SQL Server, and Azure Data Factory.
Knowledge of Azure, Google Cloud, and AWS.
PL/SQL-based data extraction, transformation, loading, ETL management, troubleshooting, performance tuning, failover, and recovery.
Scripting experience with Python, Unix shell, and Scala.
Education - 3%
Education-related qualifications and experience as applicable to the assignment requirements.
Public Sector Experience - 2%
Public sector experience relevant to the assignment and the priorities of the Government of Ontario.

How to Apply

If you are interested and your profile matches the requirements, kindly send the following mandatory documents to hrsmss@smsoftconsulting.com by Wednesday, October 21, 2026, at 8:00 AM EST.

Mandatory Documents:

Updated Resume in Word format (Mandatory)
References (Mandatory)
Expected Hourly Rate (Mandatory)
Visa Status (Mandatory)
LinkedIn ID (Mandatory)

Without the mandatory documents, we cannot submit a candidate.

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Note:

The candidate is required to work from the office five days per week.

Email is the best way to reach us.

You have received this message either as a result of contacting our company to express interest in employment or as a result of posting your resume in a location that can be accessed by recruiters or HR specialists, which suggests an interest in being contacted about employment opportunities.

About employer

More about this job

Responsibilities

Design, develop, automate, and optimize data pipelines and cloud data platforms, including ETL/ELT workflows, orchestration, and CI/CD practices. Manage enterprise data migration and integration across Oracle, Azure Data Lake, Databricks, and Microsoft Fabric, while supporting performance monitoring and tuning.

Requirements

Requires extensive hands-on experience with Databricks, Delta Live Tables or equivalent, Unity Catalog or equivalent, Azure Data Factory, advanced SQL, PySpark, and relational database administration and modeling. Candidates should also have experience with Azure DevOps CI/CD, DataOps, and enterprise-scale data migration and integration across cloud platforms.

Skills

Databricks
Delta Live Tables
Unity Catalog
Azure Data Factory
Advanced SQL
PL/SQL
T-SQL
PySpark
Data Modeling
ETL/ELT Pipelines
Azure DevOps
CI/CD
DataOps
Oracle
Microsoft Fabric
Data Migration

Visa sponsorship

Not detected in the job text

Keywords

Databricks
Delta Live Tables
Unity Catalog
Azure Data Factory
Azure Data Lake
Microsoft Fabric
Azure DevOps
Oracle
MySQL
SQL Server
Azure SQL Server
Advanced SQL
PL/SQL
T-SQL
PySpark
Python
Unix Shell
Scala
ETL/ELT
DataOps
CI/CD
Data Migration
Data Integration
Data Modeling
Data Warehousing
Data Lakehouse
Medallion Architecture
Pipeline Orchestration
Query Optimization
Google Cloud

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Jobs in Canada