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Added 7 days ago
HB
Platform Engineer - Reliability - FinTech - $125,000-$225,000 CAD + Bonus
Hunter Bond
Montreal, QC
- $125,000 to $225,000 CAD / year
- Full-time
Skills: Linux, Chef, Puppet, Ansible, Kubernetes, Docker, CI/CD, Python
Added 7 days ago
A
Data Lake Architect (Databricks)
Augmented
Toronto, ON
- Full-time
Expert in Spark, Python and SQL, with the ability to review and guide engineering work
Added 7 days ago
A
Staff PCIe Verification Engineer
Arm
Toronto, ON
- Full-time
As a creative verification engineer with a knowledge of Sub-System integration verification, IO Virtualization scenario verification with Arm SMMU, Interoperability verification with Arm…
Added 7 days ago
A
Senior PCIe Verification Engineer
Arm
Toronto, ON
- Full-time
As a creative verification engineer with a knowledge of Sub-System integration verification, IO Virtualization scenario verification with Arm SMMU, Interoperability verification with Arm…
Added 7 days ago
A
Senior PCIe Design Engineer
Arm
Toronto, ON
- Full-time
Are you ready for a new and exciting challenge? If you are a self-motivated design engineer with expertise in micro-architecture, logic design and ARM IP’s, system protocols and looking to…
Added 7 days ago
V
Application Developer
Virtusa
Toronto, ON
- Full-time
IBM Safer Payment SME - Senior Lead Software Engineer
Added 7 days ago
Y
Data Engineer
Yochana
Calgary, AB
- Full-time
We are seeking a skilled Data Engineer to design, develop, and maintain scalable data pipelines and infrastructure that support data-driven decision-making.
Added 7 days ago
ED
Data Platform Engineer
Eigen Development
Toronto, ON
- Full-time
Shift4 is seeking a Data Platform Engineer to join our Data Platform team and build, maintain, and optimize the pipelines that move data from our production systems into our analytics…
Added 7 days ago
SM
RQ11486 – Data Ops/Cloud Data Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
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.…
Added 7 days ago
SM
RQ11486 – Data Ops/Cloud Data Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
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.…
Added 7 days ago
SM
RQ11486 – Data Ops/Cloud Data Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
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.…
Added 7 days ago
A
SDET (Intermediate)
Actalent
Waterloo, ON
- $40 to $50 CAD / hour
- Contract
This Software Development Engineer in Test (SDET) role focuses on designing, developing, and maintaining automated test scripts and tools in Python to validate new features for advanced…
Added 7 days ago
A
Lab Engineer (Intermediate)
Actalent
Waterloo, ON
- $33 to $38 CAD / hour
- Contract
As an intermediate Lab Engineer, you will work closely with development and test teams to ensure that lab infrastructure, hardware, and automation systems reliably support continuous…
Added 7 days ago
A
Embedded Software Engineer
Actalent
Mississauga, ON
- $70,000 to $85,000 CAD / year
- Full-time
The Embedded Software Engineer designs, develops, and maintains embedded computer system software for advanced military and naval applications, including control software for helicopter…
Added 7 days ago
SI
Artificial Intelligence Engineer
Spait Infotech
Canada
- Full-time
Build AI-powered applications using Python and relevant AI frameworks.
Added 7 days ago
KC
Senior Consultant, Microsoft Fabric Data Engineer, Data & AI
KPMG Canada
Vancouver, BC
- Full-time
Our team is looking for a Data Engineer with deep hands-on expertise in Microsoft Fabric and strong consulting capabilities. This role will support and lead data platform modernization…
Added 7 days ago
BH
Lead Software Engineer
Beacon Holdings
Remote, Canada
- Full-time
- Remote
…and you bring it. You join one company full time as its lead engineer and grow it. Some of our engineers stay with one company for years. Others move to a new one when the time is…
Added 8 days ago
SI
Software Engineer
Spait Infotech
Canada
- Full-time
Programming languages: Python, Java, JavaScript, C++, or C#
Added 8 days ago
SI
Quality Assurance Engineer
Spait Infotech
Canada
- Full-time
Basic programming knowledge in Python, Java, or JavaScript.
Added 8 days ago
TW
Senior Site Reliability Engineer
The Walt Disney Company
Vancouver, BC
- $120,700 to $161,800 CAD / year
- Full-time
The Senior Site Reliability Engineer will drive the design, implementation, and operation of reliable, scalable infrastructure across the studio. This role partners closely with team…
Added 8 days ago
SM
RQ11486 – Data Ops/Cloud Data Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
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.…
Added 8 days ago
CS
Software Developer
Cronometer Software Inc
Revelstoke, BC
- Full-time
Develop intelligent, data-driven services. Create and optimize backend systems and APIs (Java, Python, SQL) that deliver insights to millions of users and enable new product experiences
Added 8 days ago
WD
Senior Site Reliability Engineer
Walt Disney Animation Studios
Vancouver, BC
- $120,700 to $161,800 CAD / year
- Full-time
The Senior Site Reliability Engineer will drive the design, implementation, and operation of reliable, scalable infrastructure across the studio. This role partners closely with team…
Added 8 days ago
MS
Design Validation Co-op
Motorola Solutions
Vancouver, BC
- Full-time
…members and are given the opportunity to learn what being an engineer is like in the real world. You’ll have the opportunity to learn new technologies and best practices in electrical…
Added 8 days ago
C
Principal SerDes System/DSP Design Engineer
Ciena
Ottawa, ON · ON
- $126,100 to $201,500 CAD / year
- Full-time
We are seeking a highly skilled Senior SerDes System/DSP Design Engineer to join our advanced engineering team . In this role, you will lead the architecture, design, and validation of…

S M Software Solutions Inc

RQ11486 – Data Ops/Cloud Data Engineer – Senior

Toronto, ON, Canada

Internship

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Job details

Job type: Internship
Apply by: Nov 16, 2026
Posting language: English
Posted: Oct 17, 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.

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Note:

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

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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.

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More about this job

Responsibilities

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

Requirements

Requires extensive senior-level hands-on experience with Databricks, Delta Live Tables or equivalent, Unity Catalog or equivalent, advanced SQL, PL/SQL, T-SQL, PySpark, relational databases, and data modeling. Candidates must also have experience building Azure Data Factory and Databricks pipelines with Azure DevOps CI/CD, and performing 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
Oracle
MySQL
SQL Server
Azure SQL Server
Advanced SQL
PL/SQL
T-SQL
PySpark
Python
Unix Shell
Scala
ETL/ELT
DataOps
CI/CD
Azure DevOps
Data Migration
Data Integration
Data Modeling
Data Warehousing
Data Lakehouse
Medallion Architecture
Pipeline Orchestration
Query Optimization
Google Cloud

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