Jobs in Canada

Email me new jobs Save this search

Added 8 mins ago
TG
Application Security Engineer
TMX Group
Toronto, ON
- $105,000 to $115,000 CAD / year
- Full-time
Lead, and execute ongoing application security testing against the organisation’s product suite.
Added 23 mins ago
C
Senior AWS Data Engineer (Strong Databricks)
Ccube
Mississauga, ON
- Full-time
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).
Added 23 mins ago
OE
Advisor, Distribution Asset Management
Ontario Energy Board
Toronto, ON
- Full-time
Lead and/or support the development of policies related to electricity distribution applications
Added 23 mins ago
GG
Practice Lead - Offensive Security & Red Teaming
Graystone Group
Canada
- Full-time
…cybersecurity organization seeking an experienced Practice Lead – Offensive Security & Red Teaming to lead, manage, and expand its Canadian offensive security…
Added 23 mins ago
Y
SDET/Automation – Mobility (IOS Applications)
Yochana
Vancouver, BC
- Contract
Must have strong: At least 5+ years of exp in Automation/SDET, iOS testing, Xcode, XCUI, python or java coding
Added 23 mins ago
Senior Data Engineer
Capgemini
Mississauga, ON
Data Engineering Lead We are seeking a highly experienced Senior Data Engineering Lead with 8+ years of experience in modern data engineering, data warehousing, and data lake technologies…
Added 23 mins ago
C/
Senior Infrastructure Specialist, West
CIRO / OCRI
AB · Vancouver, BC · Calgary, AB
- Full-time
Lead incident response using ITIL frameworks (e.g., incident management systems).
Added 38 mins 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 53 mins ago
PF
Data Analyst 2
Pattison Food Group
Langley (District), BC · Langley Office - Langley BC
- Full-time
Reporting to the Team Lead, Data & Analytics, the Data Analyst 2 is responsible for gathering, analyzing and delivering data-driven insights to support business decisions. This person works…

Ccube

Senior AWS Data Engineer (Strong Databricks)

Mississauga, ON, Canada

Full-time

Apply About employer

Applications open in a new tab.

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

Apply About employer

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

Report this job