Jobs in Canada

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Added 22 days ago
LI
Software Developer - Full Stack
Lotus IT Solutions
Toronto, ON
- Contract
Five days per week in-office attendance is required
Added 22 days ago
SM
RQ11775 – Software Developer – Senior
S M Software Solutions Inc
Toronto, ON
- Full-time
Work Arrangement: Onsite – 5 Days per Week
Added 22 days ago
SM
RQ11679 – Software Developer – ERP / Case Management – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Onsite – 5 Days per Week
Added 22 days ago
SM
RQ11678 – Software Developer – ERP / Case Management – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Onsite – 5 Days per Week
Added 22 days ago
SM
RQ11775 – Software Developer – Senior
S M Software Solutions Inc
Toronto, ON
- Full-time
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
RQ11600 – Software Developer – Full Stack – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Onsite – 5 Days per Week
Added 22 days ago
SM
RQ11600 – Software Developer – Full Stack – 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
RQ11600 – Software Developer – Full Stack – 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
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
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
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
I
Database Architect - InteleShare
Intelerad
Canada
- Full-time
7+ years of experience in database architecture, design, and administration with demonstrated expertise in both relational databases (Oracle, PostgreSQL, SQL Server) and NoSQL databases…
Added 22 days ago
I
Database Manager - InteleShare
Intelerad
Canada
- Full-time
Professional certification such as AWS Certified Database Specialty, Microsoft Certified: Azure Database Administrator Associate, or Oracle Certified Professional.
Added 22 days ago
IG
Peoplesoft Developer
Insight Global
London, ON
- Contract
-3+ years of relational database experience with Oracle, SQL Server, and/or MySQL
Added 22 days ago
Senior Financial Management Analyst (Hyperion)
City of Regina
Regina, SK
This position is the lead subject matter expert for the City's Oracle Enterprise Performance Management (EPM) platform. It oversees Oracle EPM Cloud Planning (EPBCS / Hyperion Planning) and…
Added 22 days ago
SD
Middleware Developer
Symbiotic Digital
ON · Downtown Toronto (Central Bay Street), Ontario
- Contract
technical expertise in Oracle, SQL Server, and PL/SQL database
Added 22 days ago
SD
Senior Full Stack Developer
Symbiotic Digital
Toronto, ON · Downtown Toronto (Ryerson), Ontario
- Contract
is required to work onsite five (5) days per week
Added 22 days ago
L
Software Development Engineer in Test (Specialist - Quality Engineering)
LTM
ON · Ontario, Canada
- $103,554 to $115,200 CAD / year
- Full-time
Understanding of database schemas, tables, views, and stored procedures.
Added 22 days ago
MC
Senior QA Engineer III – Automation | Banking | API | Kafka | ETL (35729)
Myticas Consulting
Ottawa, ON
- Full-time
Strong SQL and database testing experience with Oracle, PostgreSQL, or similar relational databases.
Added 22 days ago
CN
Contractor Management Coordinator
Canadian Nuclear Laboratories
Chalk River, ON
- Full-time
Working schedule: Five (5) days per week, seven and a half (7.5) hours per day for a thirty-seven and a half (37.5) hour work week
Added 22 days ago
CO
Temporary Solutions Integration Specialist (up to 8 months)
City of Saint John
Saint John, NB
- Temporary
Must possess exceptional problem solving, critical thinking and analytical skills to troubleshoot and resolve issues and challenges · Must have a demonstrated understanding of the underlying concepts of project management methodologies
Added 22 days ago
C
Java Tech Lead - Vice President
Citi
Mississauga, ON
- Full-time
Database Proficiency: Hands-on experience with Oracle, MS SQL, and MongoDB

S M Software Solutions Inc

RQ11486 – Data Ops/Cloud Data Engineer – Senior

Toronto, ON, Canada

Internship

Apply on LinkedIn About employer

Applications open in a new tab.

Job details

Job type: Internship
Apply by: Nov 19, 2026
Posting language: English
Posted: Oct 20, 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 ETL/ELT processes across Oracle, Azure Data Lake, Databricks, and Microsoft Fabric. Manage cloud data services and support enterprise data migration, integration, platform development, CI/CD, and pipeline performance optimization.

Requirements

Candidates need extensive hands-on experience with Databricks or equivalent technologies, Delta Live Tables, Unity Catalog, Azure Data Factory, advanced SQL, PySpark, and relational database administration and modeling. Experience with enterprise-scale data migration, DataOps, CI/CD, Azure DevOps, and cloud data platforms is required; Python, Unix shell, Scala, and medallion architecture are desirable.

Skills

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

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 Migration
Data Integration
Data Modeling
Data Warehousing
Data Lakehouse
Medallion Architecture
Pipeline Orchestration
Performance Tuning
Google Cloud

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Jobs in Canada