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Added 10 days ago
TC
Power BI Developer
Tata Consultancy Services
Calgary, AB
- $90,000 to $110,000 CAD / year
- Full-time
We are seeking a skilled Power BI Developer with expertise in Power BI, Power Apps, Artificial Intelligence (AI), and Machine Learning (ML). The ideal candidate will design, develop, and…
Added 10 days ago
BB
Sr. QA Analyst
Bond Brand Loyalty
Toronto, ON
- $73,106 to $108,000 CAD / year
- Full-time
2+ years of hands-on Playwright experience (TypeScript or Python), including API testing with APIRequestContext and running suites in CI/CD.
Added 10 days ago
SI
Full Stack Engineer
Stelvio Inc.
Saskatoon, SK
- Full-time
Knowledge of SQL and/or NoSQL database technologies.
Added 10 days ago
R
Lead Data Scientist, AML Analytics
RBC
Vancouver, BC · Toronto, ON
- Full-time
Expertise in analyzing and manipulating large datasets with Python and Scala/Spark·
Added 10 days ago
TC
AWS Engineer
Tata Consultancy Services
Toronto, ON
- $100,000 to $120,000 CAD / year
- Full-time
OpenTelemetry, CloudWatch, CloudTrail• QuickSight / SPICE / RLS / CLS• APIs, SQL, Angular and automatiom.
Added 10 days ago
B
Intermediate to Senior Software Developer & AI Integrator - Montréal-based
Beslogic
Montreal, QC
- Full-time
At Beslogic, we build custom software and AI solutions for organizations with complex operations. Our clients work in industries like manufacturing, aerospace, logistics, and warehousing,…
Added 10 days ago
JG
Ab Initio Metadata Consultant
J2B Global LLC
Mississauga, ON
- Full-time
Perform application development and coding using Python, Java, or other programming languages.
Added 10 days ago
Software Test Analyst
The Descartes
Waterloo, ON
Perform database and data-integrity testing using SQL.
Added 10 days ago
Senior Data Solutions Specialist
National Research Council Canada
Ottawa, ON
…databases, data formats (particularly XML/DITA, relational/SQL, JSON), data conversion and data exchange mechanisms to help the NRC to manage and produce the National Model Codes,…
Added 10 days ago
KC
Senior Consultant, Microsoft Fabric Data Engineer, Data & AI
KPMG Canada
Toronto, ON
- Full-time
Strong proficiency in SQL and solid understanding of modern data modeling principles and data warehousing concepts.
Added 10 days ago
NB
Senior Data Scientist Production and Reporting Lead
National Bank of Canada
Richmond Hill, ON
- Full-time
Have hands-on experience with SAS/SQL, Python, Microsoft Excel, and VBA.
Added 10 days ago
NB
Senior Director Treasury Models Validation
National Bank of Canada
Montreal, QC
- Full-time
and analytics tools such as Python, R, or SQL, and the ability to review model
Added 10 days ago
NB
Associate Director, Balance Sheet Management, Insurance
National Bank of Canada
Montreal, QC
- Full-time
Strong programming and data analytics skills using SQL and Python.
Added 10 days ago
B
Senior Java Software Engineer
Bounteous
Montreal, QC
- Full-time
We are looking for a strong Java Developer with hands-on experience in Java, Spring Boot, Microservices, SQL, and AWS. The ideal candidate should have experience building scalable…
Added 10 days ago
CO
Application & Integration Technical Analyst
City of Saint John
Saint John, NB
- Full-time
Database querying and transformation: dbt, SQL (writing queries, joins, stored procedures)
Added 10 days ago
T
Data Engineer II
TD
Toronto, ON
- Full-time
$81,600 - $115,200 CADThis role is eligible for a discretionary variable compensation award that considers business and individual performance.
Added 10 days ago
T
Product Owner - Payments Modenization
TD
Toronto, ON
- Full-time
$96,900 - $136,800 CADThis role is eligible for a discretionary variable compensation award that considers business and individual performance.
Added 10 days ago
IM
Intern, Performance and Analytics, Reporting (Summer 2027)
Investment Management Corporation of Ontario (IMCO)
Toronto, ON
- Full-time
Proficiency in Python, SQL, and VBA is required.
Added 10 days ago
SM
RQ00821 – Solution Architect – CRM – Intermediate
S M Software Solutions Inc
Toronto, ON
- Internship
Customization: Experience with Maximo Business Objects and Web Beans (Java), Automation Scripts (Java, Python, or other scripting languages).
Added 10 days ago
SM
RQ00821 – Solution Architect – CRM – Intermediate
S M Software Solutions Inc
Toronto, ON
- Internship
Customization: Experience with Maximo Business Objects and Web Beans (Java), Automation Scripts (Java, Python, or other scripting languages).
Added 10 days ago
SM
RQ00821 – Solution Architect – CRM – Intermediate
S M Software Solutions Inc
Toronto, ON
- Internship
Customization: Experience with Maximo Business Objects and Web Beans (Java), Automation Scripts (Java, Python, or other scripting languages).
Added 10 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 10 days ago
SM
RQ11716 – Systems Testing/QA Specialist – Intermediate
S M Software Solutions Inc
Toronto, ON
- Internship
Client: Ministry of Public and Business Service Delivery and Procurement – RQ11716
Added 10 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 10 days ago
SM
RQ11716 – Systems Testing/QA Specialist – Intermediate
S M Software Solutions Inc
Toronto, ON
- Internship
Client: Ministry of Public and Business Service Delivery and Procurement – RQ11716

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 17, 2026
Posting language: English
Posted: Oct 18, 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, build, automate, and optimize data pipelines and cloud data platforms, including ETL/ELT workflows, integrations, and enterprise-scale data migrations. Manage cloud data services and apply CI/CD, orchestration, monitoring, and performance tuning across platforms such as Oracle, Azure Data Lake, Databricks, and Microsoft Fabric.

Requirements

Requires extensive hands-on experience with Databricks, Delta Live Tables or equivalent, Unity Catalog or equivalent, Azure Data Factory, advanced SQL, PL/SQL, T-SQL, PySpark, and relational and dimensional data modeling. Candidates should also have experience with Azure DevOps CI/CD, DataOps, database administration and optimization, and large-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
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
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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