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Added 9 days ago
R|
Programmer
RI-MUHC | Research Institute of the MUHC | #rimuhc
Montreal, QC
- Full-time
Field of Study: Computer Science, Software Engineering, Health Informatics, or a related field, or equivalent professional experience
Added 9 days ago
IM
Intern, Continuous Improvement & Transformation (Summer 2027)
Investment Management Corporation of Ontario (IMCO)
Toronto, ON
- Full-time
Working towards an undergraduate degree in Business, Finance, Mathematics, Engineering, Computer Science, Data Science, or a related discipline.
Added 9 days ago
M
Security Software Engineer
Motive
Vancouver, BC
- Full-time
…that protect Motive’s products, infrastructure, and customer data. You will report into Pankaj Moolrajani, Manager, Security Engineer, and work across engineering and product teams to embed…
Added 9 days ago
M
Senior Data Architect
Miratech
Toronto, ON
- Full-time
We are looking for a Senior Data Architect to design the end-to-end data platform for APEX. The platform ingests contact centre telephony and quality data from the Genesys A3S Snowflake…
Added 9 days ago
L
Optical Algorithms and Analytics Engineering Co-op/Intern
Lumentum
Ottawa, ON
- Full-time
Position Title: Optical Algorithms and Analytics Engineering Co-op/Intern
Added 9 days ago
QA Analyst
Scotiabank
Toronto, ON
Build and execute API test automation to validate RESTful services, including authentication, data validation, and error handling.
Added 9 days ago
SD
Cloud Data Engineer
Symbiotic Digital
ON · Central Toronto (Summerhill West / Rathnelly / South Hill / Forest Hill SE / Deer Park), Ontario
- Contract
This position requires expertise in cloud data engineering,
Added 9 days ago
QF
Senior Manager, Credit Modeling and Strategy (Flexiti)
Questrade Financial Group
Toronto, ON · North York, ON
- Full-time
Have solid proficiency in data analysis tools (SAS, Python, R, SQL, DataBricks)
Added 9 days ago
AI
Data Platform Engineer –AWS cloud & Netezza
Apptoza Inc.
Toronto, ON
- Contract
We are seeking a highly skilled Senior Platform Engineer with extensive experience in Big Data technologies, AWS Cloud, and data platform engineering. The ideal candidate will have strong…
Added 9 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 9 days ago
HT
Software Validation Technologist
Husky Technologies
Bolton, ON
- Full-time
Implement software validation engineering test plans, cases plus scripts.
Added 9 days ago
AI
Full Stack Engineer
Apptoza Inc.
Toronto, ON
- Contract
You will be responsible for working closely with AI data scientists to support data ingestion and feature engineering, establishing industry best practices, maintaining and managing…
Added 9 days ago
Production Development Engineering Intern (Co-op), Winter 2027
Clutch Technologies Inc.
Mississauga, ON
Weeks 3 to 8: Measure. Collect data, run your studies, and share what you're finding at a mid-term review with engineering.
Added 9 days ago
H
Senior Quality Engineer (Automation Testing)
Hays
Toronto, ON
- Contract
Solid understanding of at least one programming language (e.g., JavaScript/TypeScript, Python, Java, or C#).
Added 9 days ago
A
Senior IFRS 17 Data Engineer / Toronto, ON - (Onsite) FTE
AceStack
Toronto, ON
- Full-time
We are seeking an experienced Senior IFRS 17 Data Engineer with strong expertise in insurance data, IFRS 17, data analysis, SQL, Python, and PySpark. The ideal candidate will be responsible…
Added 9 days ago
TH
Senior Analyst, Strategy
The Home Depot
Canada
- Full-time
Education: Bachelor’s or Advanced degree in Business, Finance, Economics, Mathematics, Statistics, Data Analytics, Engineering, or a related quantitative discipline.
Added 9 days ago
Data Engineer
Scotiabank
Toronto, ON
The Data Engineer provides hands on technical expertise across software engineering, data engineering, and AI/ML. This role shapes solution architecture, establishes engineering standards,…
Added 9 days ago
M
Senior Data Scientist - GenAI
Manulife
Toronto, ON
- Full-time
We are seeking a highly skilled and motivated Senior Data Scientist to join our Group Functions Advanced Analytics team. As a Senior Data Scientist - GenAI, you will develop and implement…
Added 9 days ago
IN
Senior Data Engineer
IKO North America
Mississauga, ON
- Full-time
Minimum 10 years of professional experience in data engineering or a related field
Added 9 days ago
GP
AI Productivity & Adoption, Co-op
Generac Power Systems
Toronto, ON · Canada - Toronto
- Full-time
…workflow, or direct API calls to an LLM. A formal software engineering background is not required, but you need hands-on experience and the ability to keep building…
Added 9 days ago
Staff Research Scientist (AI for Self-Driving Labs, 2-year Term)
University of Toronto
Toronto, ON
Generative and probabilistic modeling, including uncertainty estimation, risk-aware prediction, and data-efficient learning.
Added 9 days ago
M
Staff Software Engineer - Onboarding and Migrations
Marqeta
Remote, Canada
- Full-time
- Remote
Proven experience as a Software Engineer, with a minimum of 8 years working on software engineering, data pipelines, data integration, and database management
Added 9 days ago
CS
Azure Databricks Architect
Confiar Services
Toronto, ON
- Contract
We are seeking a Principal Azure Databricks Architect to design, architect, and deliver scalable, high-performance data solutions on Microsoft Azure. The ideal candidate will have strong…
Added 9 days ago
LC
Senior Enterprise Database Administrator
Litcom Consulting Inc.
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Troubleshoot database and application data issues, including deadlocks, blocking, corruption, replication failures, and connectivity problems.
Added 9 days ago
G
Senior Manager, Data Engineering
Generac
Toronto, ON
- Full-time
As a Senior Engineering Manager in Data Engineering, you will lead a team of data engineers to build out our next generation Data Platform. With their support, you'll be responsible for…

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 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.

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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.

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More about this job

Responsibilities

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

Requirements

Candidates need 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. Experience with enterprise-scale data migration, DataOps, CI/CD using 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 Modeling
ETL/ELT Pipelines
Azure DevOps
CI/CD
Oracle
Data Migration
Microsoft Fabric
DataOps

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
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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