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Added 1 day ago
C
Senior Full Stack Software Designer (Java & React)
CGI
Toronto, ON
- Full-time
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 1 day ago
CM
Application Solution and Design Director
CIBC Mellon
Toronto, ON
- Full-time
…and Snowflake, and CI/CD pipelines including GitHub and Azure…
Added 1 day ago
C
Enterprise architect
CGI
Ottawa, ON
- Full-time
Practical understanding of DevOps and DevSecOps, including CI/CD pipelines, automated testing, deployment automation, and monitoring.
Added 1 day ago
Data Scientist
Scotiabank
Toronto, ON
Experience with DevOps principles and/or software engineering best practices (e.g., Git, continuous integration/delivery, Jira).
Added 1 day ago
TG
Pega Lead System Architect
TMX Group
Toronto, ON
- Full-time
Proficiency with modern DevOps practices, deployment pipelines, and CI/CD workflows within a Pega ecosystem.
Added 1 day ago
TG
Full Stack Developer
TMX Group
Toronto, ON
- Full-time
As a Full Stack Developer, you will design, implement, and maintain high-performing web applications and resilient digital interfaces. Working collaboratively within a cross-functional…
Added 1 day ago
KG
Technical Business Analyst (IAM)
K&K Global Talent Solutions INC.
Quebec, QC
- Full-time
…will translate complex technical architectures into crisp, developer-ready requirements while ensuring robust security and operational…
Added 1 day ago
TG
Application Security Engineer
TMX Group
Toronto, ON
- $105,000 to $115,000 CAD / year
- Full-time
Partner with development and DevOps teams to architect and automate security tests and guardrails into continuous integration/continuous deployment (CI/CD) pipelines.
Added 1 day ago
AT
Principal Software Developer (DevOps)
Aspen Technology
Montreal, QC
- Full-time
AspenTech is looking for a talented and experienced Developer to join our Enterprise Operations Platform (EOP) organization. In this role, you will be responsible for building and evolving…
Added 1 day ago
C
Senior AWS Data Engineer (Strong Databricks)
Ccube
Mississauga, ON
- Full-time
Implement CI/CD pipelines, automated testing, and DevOps practices for data engineering solutions.
Added 1 day ago
J
Software Developer ETL
Joblinxsapp
Toronto, ON
- Full-time
The Ontario Public Sector is seeking a Senior Software Developer – ETL with strong expertise in Azure Data Engineering, Microsoft Fabric, Databricks, PySpark, and Power BI.
Added 1 day ago
V
Backend Developer (Ruby/Golang)
VDart
Toronto, ON
- Contract
Collaborate with DevOps teams on AWS, CI/CD, monitoring, and deployments.
Added 1 day ago
HB
Platform Engineer - $210,000 + bonus! (Fintech)
Hunter Bond
Montreal, QC
- Full-time
You’ll deliver and maintain mission-critical platform infrastructure using a DevOps methodology, working with developers, researchers and infrastructure teams to build, automate and scale…
Added 1 day ago
CS
Data Engineer
Cyber Space Technologies LLC
Toronto, ON
- Full-time
Implement CI/CD pipelines in Azure DevOps or GitHub.
Added 1 day ago
M
Senior Java Full Stack Developer
Miratech
Ottawa, ON
- Full-time
We are looking for a Senior Full Stack Developer to design, build and maintain both front-end interfaces and back-end systems, including APIs, microservices, databases and cloud…
Added 1 day ago
SI
Senior/Lead .NET Developer - Microservices & DevOps
Syndesus, Inc.
AB · Edmonton, AB
- Full-time
Our client partner is seeking an experienced Senior/Lead .NET Developer who wants to take ownership of the backend architecture and development of a major greenfield platform rebuild.
Added 1 day ago
IC
Test Automation Consultant
iPartner Consulting
Toronto, ON
- Contract
Added 1 day ago
Senior Data Engineer
Capgemini
Mississauga, ON
…QualificationsExperience with Databricks (highly preferred).Experience with Azure DevOps and CI/CD…
Added 1 day ago
C/
Senior Infrastructure Specialist, West
CIRO / OCRI
AB · Vancouver, BC · Calgary, AB
- Full-time
Develop and maintain CI/CD pipelines using modern DevOps tools (e.g., Azure DevOps)
Added 1 day ago
RD
Senior Technical Analyst / Developer - Machine Learning & Data Engineering
Randstad Digital
Toronto, ON · Greater Toronto Area, Canada
- $100,000 to $130,000 CAD / year
- Full-time
Senior Technical Analyst / Developer (Machine Learning & Data Engineering)
Added 1 day ago
HM
Test Analyst
Hi Mauritius
Canada
- Full-time
Familiarity with manual testing techniques and defect tracking tools (e.g., JIRA, Azure DevOps, Bugzilla).
Added 1 day ago
IS
Lead Java Developer
Iris Software Inc.
Toronto, ON
- Contract
Establish and promote CI/CD, DevOps, automation, and infrastructure-as-code practices.
Added 1 day ago
CF
Intermediate Observability Engineer
CI Financial
Toronto, ON
- Full-time
The ideal candidate will partner with Cloud Engineering, DevOps, SRE, and application teams to improve service visibility, strengthen monitoring coverage, and embed observability practices…
Added 1 day ago
UT
Senior Data Analyst # 26-27842
US Tech Solutions
Montreal, QC
- $48.42 CAD / hour
- Contract
Project Management Tools: Experience with Jira or Azure DevOps.
Added 1 day ago
SF
Senior Application Security Engineer
Spring Financial
Vancouver, BC
- Full-time
…evolution. You collaborate closely with product engineering, DevOps, platform, and compliance leaders to deeply understand the “why” behind the work, ensuring the controls you design…

Ccube

Senior AWS Data Engineer (Strong Databricks)

Mississauga, ON, Canada

Full-time

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Job details

Job type: Full-time
Apply by: May 4, 2027
Posting language: English
Posted: Nov 5, 2026

Original job description

We are looking for a Senior AWS Data Engineer to design and lead scalable, secure, and high-performance cloud data platforms across AWS/Azure." in Mississauga, ON (Hybrid).
Senior AWS Data Engineer (Strong Databricks)
Location: Mississauga, ON (Hybrid)
Full Time/CTH

Experience: 8+ Years

Role Expectations
The Senior Data Engineer will be responsible for hands-on development, implementation, optimization, and maintenance of enterprise-scale data solutions. The role requires strong technical ownership of data pipelines, data processing frameworks, and cloud data platforms, focusing on performance, reliability, data quality, and cost efficiency.
Key Responsibilities

Design, develop, and maintain scalable cloud-based data pipelines and data platforms using AWS and/or Azure.
Build and optimize data lakes, data warehouses, and lakehouse solutions.
Implement Medallion Architecture (Bronze, Silver, and Gold layers) for efficient data processing and data quality.
Develop and maintain robust ETL/ELT pipelines for batch and real-time data processing.
Build data integration workflows using SQL, Python, Spark, Databricks, Kafka, Airflow, dbt, or equivalent technologies.
Develop and optimize complex SQL queries, data models, and transformation logic.
Work with structured, semi-structured, and unstructured data from multiple sources.
Implement data quality checks, validation frameworks, error handling, and monitoring mechanisms.
Apply data governance, security, access control, and compliance best practices.
Optimize data pipeline performance, scalability, reliability, and cloud infrastructure costs.
Implement CI/CD pipelines, automated testing, and DevOps practices for data engineering solutions.
Collaborate with Data Architects, Analytics Engineers, Data Scientists, and business stakeholders to deliver reliable data solutions.
Contribute to technical design documents, data flow diagrams, and implementation plans.
Troubleshoot production issues and ensure data pipeline availability, accuracy, and timely delivery.
Mentor junior Data Engineers and promote engineering best practices.

Must-Have Skills

8–10+ years of experience in Data Engineering, with strong hands-on experience building production-grade data pipelines.
Strong hands-on experience with AWS and/or Azure data services.
Expertise in ETL/ELT development, data transformation, and data pipeline orchestration.
Strong knowledge of Data Lakes, Lakehouses, Data Warehousing, and Medallion Architecture.
Advanced SQL skills and proficiency in Python or equivalent programming languages.
Hands-on experience with Apache Spark and/or Databricks.
Experience with Kafka, Airflow, dbt, or equivalent streaming and orchestration technologies.
Experience processing structured, semi-structured, and unstructured data.
Strong understanding of data modeling, data quality, and data validation techniques.
Knowledge of data governance, security, access management, and compliance practices.
Experience with Git, CI/CD, automated testing, and DevOps practices.
Strong analytical, problem-solving, communication, and collaboration skills.

Good to Have

AWS or Azure certifications.
Databricks certification or hands-on experience with the Databricks platform.
Experience with Snowflake or other modern cloud data warehouses.
Experience with real-time data processing and streaming architectures.
Familiarity with Infrastructure as Code (Terraform, CloudFormation, or Bicep).
Knowledge of data observability, monitoring, and data lineage tools.
Exposure to Data Mesh concepts and distributed data architectures

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More about this job

Responsibilities

Design, build, optimize, and maintain enterprise-scale cloud data platforms and batch or real-time pipelines, with a focus on performance, reliability, data quality, security, and cost efficiency. Collaborate with technical and business teams, troubleshoot production issues, document solutions, and mentor junior engineers.

Requirements

Requires 8–10+ years of data engineering experience, hands-on AWS and/or Azure experience, and strong skills in ETL/ELT, SQL, Python, Spark or Databricks, and data pipeline orchestration. Candidates should also have experience with data lakes or lakehouses, data quality and governance, and Git, CI/CD, testing, and DevOps practices.

Skills

AWS
Azure
Databricks
Apache Spark
SQL
Python
ETL/ELT
Data Pipeline Orchestration
Data Lakes
Lakehouse Architecture
Data Warehousing
Medallion Architecture
Kafka
Airflow
Data Modeling
CI/CD

Visa sponsorship

Not detected in the job text

Keywords

AWS
Azure
Databricks
Apache Spark
SQL
Python
Kafka
Airflow
dbt
ETL/ELT
Data Engineering
Data Pipelines
Data Lakes
Lakehouse
Data Warehousing
Medallion Architecture
Batch Processing
Real-Time Processing
Data Modeling
Data Quality
Data Governance
Access Control
CI/CD
DevOps
Git
Automated Testing
Snowflake
Terraform
CloudFormation
Bicep

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