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Added 9 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 9 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 9 days ago
M
Senior Software Engineer
Microsoft
Vancouver, BC
- Full-time
…next-generation cloud-native, fully managed PostgreSQL-compatible database service for mission-critical and AI-powered applications. Azure HorizonDB is designed around a disaggregated…
Added 9 days ago
RB
Associate Director - Lead Production Services Support, Fixed Income
Royal Bank of Canada
Toronto, ON
- Full-time
Solid Linux, SQL, and any scripting language (Shell, Perl, Java, Python, etc.)
Added 9 days ago
AS
Full Stack Java Developer
Apex Systems
Toronto, ON
- $55 to $80 USD / hour
- Contract
We are seeking an Expert Full Stack Developer to design, build, and maintain both front-end interfaces and back-end systems, including APIs, microservices, databases, and cloud deployments.…
Added 9 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 9 days ago
R
Associate Director - Lead Production Services Support, Fixed Income
RBC
Toronto, ON
- Full-time
Solid Linux, SQL, and any scripting language (Shell, Perl, Java, Python, etc.)
Added 9 days ago
RB
Manager, Data Strategy
Royal Bank of Canada
Toronto, ON
- Full-time
Collaborate with Business System Analysts, Data Engineers, Data Architects to drive data mapping, data modeling, database design, while maintaining data fields and data products on…
Added 9 days ago
R
Application Developer III
Raise
Toronto, ON
- Full-time
We at Raise are hiring an Application Developer III for one of our top clients. After establishing themselves as an industry leader, they’re now expanding their team to meet rising demand.…
Added 9 days ago
SL
Data Engineer
Sun Life
Toronto, ON · Waterloo, ON · Montreal, QC · Sun Life Waterloo King
- Full-time
Strong proficiency in SQL and Python programming.
Added 9 days ago
I-
DataOps/Cloud Data Engineer - Senior
I8IS - Infiniti Software Solutions
Toronto, ON
- Full-time
Scripting languages (Python, Unix shell, Scala).
Added 9 days ago
SI
Web Developer
Spait Infotech
Canada
- Full-time
Basic understanding of backend technologies such as Node.js, PHP, Python, or Java.
Added 9 days ago
T
Senior Analyst, Business Intelligence & Insights
TD
Toronto, ON
- Full-time
Strong working knowledge of Microsoft Office applications, MS Excel, Alteryx, Tableau, Power Apps, Power BI, SQL, Python, Azure Cloud
Added 9 days ago
A
Java Backend Developer
Apptad
Calgary, AB
- Contract
…ideal candidate should have strong expertise in Java, SQL, database systems, and Python, along with a willingness to learn and adapt to new…
Added 9 days ago
E
Intelligence Intern - 26410
Enverus
Calgary, AB
- Internship
Proficiency with Python and Data Manipulation
Added 9 days ago
Senior Software Engineer II, Investors
Carta
Toronto, ON · Waterloo, ON
The Tech Stack: You have experience with (or a desire to learn) our core technologies: Python, Django, React, Postgres, and Kafka. We also utilize Java, gRPC, and AWS.
Added 9 days ago
S
Fullstack Engineer (Moderation)
Stream
Remote, Canada
- $100,000 to $127,998 CAD / year
- Full-time
- Remote
…delivering highly reliable, low-latency services and a great developer…
Added 9 days ago
CB
Cloud Ops Administrator (Canada) - N.A. Service Delivery Group
Canadian Bank Note Company
Ottawa, ON
- $75,000 to $93,000 CAD / year
- Full-time
Monitor system and database instances performance, identify issues, and optimize performance.
Added 9 days ago
S
Data Scientist - Applied AI/Gen AI
Sanofi
Toronto, ON
- Full-time
Expertise with core data science languages (such as Python, R, Scala), and familiarity with different database systems (e.g. SQL, NoSQL).
Added 9 days ago
R
Manager, Data Strategy
RBC
Toronto, ON
- Full-time
Collaborate with Business System Analysts, Data Engineers, Data Architects to drive data mapping, data modeling, database design, while maintaining data fields and data products on…
Added 9 days ago
T
Software Engineer III
TD
London, ON · Toronto, ON
- Full-time
…in Node JS, Java, Spring Boot, REST API, Kafka , SQL Server Database, Cloud, Azure & AI tools. This ideal candidate will have strong scripting skills and experience working in cloud…
Added 9 days ago
T
Research Machine Learning Scientist II
TD
Toronto, ON
- Full-time
Experience with Spark, SQL, or comparable database systems
Added 9 days ago
CG
Data Operations & Solutions Analyst
Canaccord Genuity Group Inc.
Vancouver, BC · Toronto, ON
- Full-time
Monitor overnight production data processes (ETL) on weeknights by responding to database-related alerts and escalations
Added 9 days ago
Analyst, Business Intelligence
VIA Rail Canada
Montreal, QC
Advanced programming skills with Python (asset) or R, DAX, Power Query, SQL and Spark (asset);
Added 9 days ago
OH
Software Developer – NetSuite & Business Systems
O’Dell HVAC Group
Canada
- Full-time
We are seeking a Software Developer – NetSuite & Business Systems to join our technology team and help support, improve and integrate the business systems that power O'Dell's growing…

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 15, 2026
Posting language: English
Posted: Oct 16, 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, integrations, and enterprise-scale migrations. Manage cloud data services and apply CI/CD, DataOps, orchestration, monitoring, and performance-tuning practices across platforms such as Oracle, Azure Data Lake, Databricks, and Microsoft Fabric.

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. They should also have experience with CI/CD and Azure DevOps, DataOps, and enterprise data migration and integration across Oracle, Azure Data Lake, Databricks, and Microsoft Fabric.

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
Microsoft Fabric
Data Migration
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
Advanced SQL
PL/SQL
T-SQL
PySpark
Python
Unix Shell
Scala
ETL/ELT
CI/CD
DataOps
Data Migration
Data Integration
Data Modeling
Dimensional Modeling
Data Warehousing
Data Lakehouse
Medallion Architecture
Pipeline Orchestration
Google Cloud

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