Jobs in Canada

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Added 22 days ago
RB
Lead Data Scientist, AML Analytics
Royal Bank of Canada
Toronto, ON
- Full-time
Proficiency and familiarity with different SQL, Hive databases and GitHub·
Added 22 days ago
CO
Application & Integration Technical Analyst
City of Saint John
Saint John, NB
- Full-time
Must have Class 5 driver’s license
Added 22 days ago
W
Senior Azure Data Engineer
Wipro
AB · Edmonton, AB
- Full-time
Data ingestion and integration from SQL Server, Azure SQL Database, and enterprise applications
Added 22 days ago
SM
Senior Technical Lead (Full-Stack & Applied ML) (Contract)
Stichting Mission on Wheels
Calgary, AB
- Full-time
Strong backend, SQL, API and authorization skills, plus practical React/TypeScript. You can own mobile releases and debug state, sync and recovery problems
Added 22 days ago
Sr Analyst Data & Analytics
The Canada Life Assurance Company
Toronto, ON
Strong SQL skills and proficiency in Python or R for data preparation, integration, reconciliation, validation, automation, analysis, and quality assurance
Added 22 days ago
Manager, Data Scientist
Rogers Communications
Toronto, ON
Strong programming skills in Python, SQL, and Spark for large-scale structured and unstructured data analysis and machine learning development.
Added 22 days ago
Senior Financial Analyst
Rogers Communications
Toronto, ON
Knowledge of in the following systems will be considered an asset: Oracle Financial Systems, Hyperion/Essbase, data querying software (SQL, Data bricks, Alteryx, Snowflake), PowerBI.
Added 22 days ago
SM
Java Full Stack with React Developer
S M Software Solutions Inc
Mississauga, ON
- Full-time
This is an on-site assignment, requiring candidates to be present in the office five days per week
Added 22 days ago
T
TD Asset Management Investment Management Intern/Co-op (Summer 2027)
TD
Toronto, ON
- Full-time
Skills that the student must have (specific technical, and other skills)
Added 22 days ago
SL
Student, Business Operations & Insights Analyst (Winter 2027)
Sun Life
Waterloo, ON · Sun Life Waterloo King
- Full-time
Experience with Tableau, Power BI, SQL, or other analytical tools.
Added 22 days ago
UO
Data Scientist - Applied AI, VP Development and Alumni
University of Calgary
Calgary, AB
- Full-time
This position is currently hybrid with three days per week in the office
Added 22 days ago
L
Senior Application Engineer - IAM
lululemon
Vancouver, BC
- Full-time
Proficient in Beanshell, Java, SQL, JDBC, REST API, Web Services, and utilizing AI (Github Copilot, etc.) to improve - for example - application code, deployment methodologies, testing,…
Added 22 days ago
T
TD Asset Management Investment Management Intern/Co-op (Summer 2027)
TD
Toronto, ON
- Full-time
Skills that the student must have (specific technical, and other skills)
Added 22 days ago
C
Full Stack Engineer
Code17Tek
Toronto, ON
- Full-time
We’re looking for a Java Full Stack Developer with strong hands-on experience in Java, Spring Boot, and React or Angular to build and enhance enterprise applications.
Added 22 days ago
T
Fraud Specialist, Supplier Operations & Governance
Twilio
Remote, Canada
- Full-time
- Remote
Experience wrangling data with Excel / Google Sheets, Looker or SQL.
Added 22 days ago
SM
RQ11482 – Business Analyst – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Onsite – 5 Days per Week
Added 22 days ago
LI
Business Analyst
Lotus IT Solutions
Toronto, ON
- Contract
This is a hybrid role requiring the consultant to be onsite 3 days per week at the designated OPS office location in Toronto, with 2 days remote
Added 22 days ago
SM
RQ11482 – Business Analyst – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Onsite – 5 Days per Week
Added 22 days ago
SM
RQ11698 – Software Developer – CRM – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Onsite – 5 Days per Week
Added 22 days ago
SM
RQ11482 – Business Analyst – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Onsite – 5 Days per Week
Added 22 days ago
SM
RQ11698 – Software Developer – CRM – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Onsite – 5 Days per Week
Added 22 days ago
SM
RQ11486 – Data Ops/Cloud Data Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Onsite – 5 Days per Week · Candidates Must Demonstrate Strong Hands-on Experience In The Mandatory Technical Skills And Responsibilities Outlined In The Must Have And General
Added 22 days ago
SM
RQ11486 – Data Ops/Cloud Data Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Onsite – 5 Days per Week · Candidates Must Demonstrate Strong Hands-on Experience In The Mandatory Technical Skills And Responsibilities Outlined In The Must Have And General
Added 22 days ago
SM
RQ11754 – Software Developer – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Onsite – 5 Days per Week
Added 22 days ago
OC
Senior Technical Consultant, SAP Ariba
Optis Consulting
AB · Vancouver, Calgary, Montreal, Toronto, New York, Alberta
- Full-time
They must have exceptional communication skills, be adaptable, proactive and willing to take ownership

S M Software Solutions Inc

RQ11486 – Data Ops/Cloud Data Engineer – Senior

Toronto, ON, Canada

Internship

Apply on LinkedIn About employer

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Job details

Job type: Internship
Apply by: Nov 18, 2026
Posting language: English
Posted: Oct 19, 2026

Original job description

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.

WhatsApp Group

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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.

Apply on LinkedIn About employer

More about this job

Responsibilities

Design, build, automate, and optimize data pipelines and cloud data platforms, including ETL/ELT workflows, data migration, and integration across Oracle, Azure Data Lake, Databricks, and Microsoft Fabric. Manage pipeline orchestration, CI/CD, cloud data services, and performance monitoring while supporting enterprise data warehouse, lake, and lakehouse initiatives.

Requirements

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

Skills

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

Visa sponsorship

Not detected in the job text

Keywords

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

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Jobs in Canada