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Added 7 days ago
QW
AI Developer with Python
Quantum World Technologies Inc.
Toronto, ON
- Contract
8+ years of experience in software engineering, including strong proficiency in Python and exposure to AI/ML or Generative AI solutions.
Added 7 days ago
AC
Crew Pay System Analyst
Air Canada
Toronto, ON
- Full-time
Manage / maintain Crew Pay System Database(s) in collaboration with vendor(s) and other stakeholders
Added 7 days ago
AG
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- Full-time
Programming experience with Python or VBA and strong Excel and database skills is an asset.
Added 7 days ago
B&
Database Administrator
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Toronto, ON
- Full-time
The Database Administrator at Butterfield & Robinson thrives on solving complex data challenges, enjoys working across multiple database environments, and takes pride in clean, reliable…
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Software Engineer in Test
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KI
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IG
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CO
IT Data Analyst & Solutions Developer (2026-23)
City of Lacombe
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- Full-time
Reporting to the Network Administrator, the Data Analyst & Solutions Developer is responsible for supporting the data, reporting, analytics, and solution development initiatives of the Data…
Added 7 days ago
I
Technical Implementation Specialist II (HL7/DICOM/SQL)
Intelerad
Canada
- Full-time
Familiarity with Python notebook development, Visual Studio Code, GitHub, and AWS SageMaker.
Added 7 days ago
HT
Software Validation Technologist
Husky Technologies
Bolton, ON
- Full-time
Evaluate and verify some issues discovered, log probable software bugs in Husky tracking database.
Added 7 days ago
L
DevOps Engineer
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- $121,700 to $132,672 CAD / year
- Full-time
Strong Experience in Managing app servers like Application and Database migration Server migration Certification installation Linux box and log tracing Database Setup
Added 7 days ago
M
Analyste principal(e) en intelligence d’affaires/ Senior Analyst, Business Intelligence (contrat 12 mois)
McKesson
Montreal, QC
- Full-time
Use Structured Query Language (SQL) to gather and assess data from the reporting database, transactional database, operational data store, and external systems to assist internal and…
Added 7 days ago
M
Senior Analyst, Business Intelligence (12 month Contract)
McKesson
Mississauga, ON
- Full-time
Use Structured Query Language (SQL) to gather and assess data from the reporting database, transactional database, operational data store, and external systems to assist internal and…
Added 7 days ago
D
Senior Automation Engineer
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AB · Calgary, AB
- Full-time
…proprietary internal systems using applicable APIs, direct database queries, or scripting…
Added 7 days ago
AI Data Developer I, Professional Services, Google Cloud
Google
Toronto, ON
Experience with data platform administration or distributed data processing techniques, as well as writing software in Java, Python, or SQL.
Added 7 days ago
AI Data Developer II, Professional Services, Google Cloud
Google
Toronto, ON
Experience with database administration techniques or distributed data processing, as well as writing software in Java, Python, or SQL.
Added 7 days ago
OR
Data Engineer
OSL Retail Services Inc
Mississauga, ON
- Other
Proven experience as a Data Developer, analyst, engineer, or Data Scientist
Added 7 days ago
HT
Software Validation Technologist
Husky Technologies
Bolton, ON
- Full-time
Evaluate and verify some issues discovered, log probable software bugs in Husky tracking database.
Added 7 days ago
SM
RQ11486 – Data Ops/Cloud Data Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
…modelling; advanced SQL; query optimization; data replication; and database…
Added 7 days ago
RB
Digital Asset QA Engineer
Royal Bank of Canada
Toronto, ON
- Full-time
Programming/scripting languages: JavaScript/TypeScript, Python, or Solidity
Added 7 days ago
CO
Application & Integration Technical Analyst
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Saint John, NB
- Full-time
Database querying and transformation: dbt, SQL (writing queries, joins, stored procedures)
Added 7 days ago
HT
Software Validation Technologist
Husky Technologies
Bolton, ON
- Full-time
Evaluate and verify some issues discovered, log probable software bugs in Husky tracking database.
Added 7 days ago
SM
Python Developer
S M Software Solutions Inc
Mississauga, ON
- Full-time
We are seeking an experienced Python Developer with 8+ years of experience to design, develop, and maintain software solutions focused on Python programming, data analysis, and large-scale…
Added 7 days ago
UO
Data Scientist - Applied AI, VP Development and Alumni
University of Calgary
Calgary, AB
- Full-time
Manage and monitor data science model import processes into D&A's Constituent Relationship Management database (Blackbaud CRM), and support reliable incremental extraction and API-based…
Added 7 days ago
SM
RQ11486 – Data Ops/Cloud Data Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
…modelling; advanced SQL; query optimization; data replication; and database…

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, 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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