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Added 1 hour ago
S
Java Developer with ETL
Synechron
Montreal, QC · Greater Montreal Metropolitan Area
- $80,000 to $85,000 CAD / year
- Full-time
We are seeking a highly skilled and adaptable Senior Java Developer to join our dynamic, global engineering team. The ideal candidate thrives in fast-paced, ever-evolving environments and…
Added 1 hour ago
R
Lead Quality Engineer - Data
RBC
Toronto, ON
- Full-time
Develop and execute comprehensive data testing strategies and automated testing solutions for data validation across multiple platforms, interfaces, and ETL processes
Added 1 hour ago
SL
Data Scientist
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Toronto One York
- Full-time
Work with data warehousing, pipelines, and big data technologies such as AWS Glue for ETL, Glue Catalog, Glue Data Quality, and AWS Step Functions.
Added 2 hours ago
F
Senior Software Engineer
Fleetworthy
AB · Edmonton, AB
- Full-time
Implement scalable ETL/data transformation workflows using Databricks or similar platforms
Added 3 hours ago
CO
Application & Integration Technical Analyst
City of Saint John
Saint John, NB
- Full-time
Added 5 hours ago
GC
Data Engineer
GEI Consultants, Inc.
Guelph, ON
- $90,000 to $150,000 CAD / year
- Full-time
Experience building and managing ETL/ELT pipelines with structured, semi-structured, and unstructured data sources.
Added 6 hours ago
C
Stage coopératif - Hiver 2027: Développeur BI (4 mois)
CGI
Saguenay, QC
- Full-time
Understanding and proficiency in ETL and BI concepts and best practices;
Added 10 hours ago
AC
Pharmaceutical Data Scientist
Amaris Consulting | Part of Mantu
Toronto, ON
- Full-time
Experience working with large datasets, ETL pipelines, and data processing frameworks.
Added 10 hours ago
SO
Sr. Software Engineer
Spirit Omega Inc.
Remote, Canada
- $77 to $85 CAD / hour
- Contract
- Remote
Our client is seeking a highly experienced Senior MuleSoft Developer to support a large-scale enterprise learning platform transformation and migration program. This role will lead the…
Added 11 hours ago
RB
Lead Quality Engineer - Data
Royal Bank of Canada
Toronto, ON
- Full-time
Develop and execute comprehensive data testing strategies and automated testing solutions for data validation across multiple platforms, interfaces, and ETL processes
Added 11 hours ago
S
Migration Strategist
Slalom
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Strong understanding of data engineering principles including ETL/ELT, data modeling, pipeline architecture, cloud data platforms, and integration patterns.
Added 11 hours ago
ED
Customer Data Analyst - EN 055
Export Development Canada | Exportation et développement Canada
Remote, Canada
- Full-time
- Remote
Added 12 hours ago
AP
Business Intelligence Engineer
Arobas Personnel
Toronto, ON
- Full-time
Knowledge of ETL/ELT processes and data integration methodologies.
Added 12 hours ago
AP
Senior Business Intelligence Engineer
Arobas Personnel
Toronto, ON
- Full-time
Deep understanding of ETL/ELT processes and data integration methodologies.
Added 12 hours ago
P&
Architecte de données / Data Architect
Pratt & Whitney
Longueuil, QC
- Full-time
Expérience reconnue dans la conception, la mise en œuvre et l’optimisation de pipelines ETL (extraction, transformation et chargement).
Added 12 hours ago
HD
Databricks Engineer
Hire DigITalent Inc.
Toronto, ON · Greater Toronto Area, Canada
- $90 to $110 CAD / hour
- Contract
Design and maintain high-quality data pipelines (ETL/ELT) with strong standards for reliability, observability, metadata, and lineage.
Added 12 hours ago
L
Databricks Developer
LTM
Mississauga, ON
- $110,000 to $120,000 CAD / year
- Full-time
Added 12 hours ago
ED
Customer Data Analyst - EN 055
Export Development Canada | Exportation et développement Canada
Ottawa, ON
- $65,172 to $86,898 CAD / year
- Full-time
Added 12 hours ago
MU
Web Application Specialist
McGill University
Canada
- Full-time
Experience with Extract-Transform-Load (ETL) or Extract-Load-Transform (ELT) pipelines.
Added 12 hours ago
Z
Lead Data Engineer
ZS
Toronto, ON
- Full-time
Design and optimize ETL (Extract, Transform, Load) pipelines to prepare high-quality data for various stakeholders.
Added 12 hours ago
PT
Cube Developer
Precision Technologies
Mississauga, ON
- Contract
Develop ETL/ELT processes using SQL, Power Query, or cloud-native tools.
Added 13 hours ago
SI
Senior Data Engineer / Data Modeler – Banking Domain
Spruce InfoTech Inc.
Toronto, ON
- Contract
Added 13 hours ago
Software Engineer I
RAM Engineering Ltd.
Vancouver, BC
Build simple ETL jobs and system integrations using Node.js or Python.
Added 13 hours ago
LI
Datastage Developer
LanceSoft, Inc.
Toronto, ON
- $55 to $60 CAD / hour
- Contract
Experienced Python DataStage Developer responsible for designing| developing| and maintaining ETL/data integration solutions for banking applications.
Added 14 hours ago
CO
Application & Integration Technical Analyst
City of Saint John
Saint John, NB
- Full-time

Apptoza Inc.

Senior AWS Data Engineer

Toronto, ON, Canada

Contract

Apply About employer

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Job details

Job type: Contract
Apply by: Nov 5, 2026
Experience: 12+ years of experience in Data Engineering.
Posting language: English
Posted: Oct 6, 2026

Original job description

Job Title: Senior AWS Data Engineer

Location: Toronto, ON

Work Model: Hybrid – 3 Days/Week Onsite

Duration: 12-Month Contract (Extension Possible)

Job Summary

AWS, SQL, OLAP, OLTP, ETL , PYTHON

We are seeking a Senior AWS Data Engineer with 12+ years of hands-on experience designing, developing, and supporting enterprise-scale data platforms on AWS. The ideal candidate will be a strong individual contributor with deep expertise in AWS data engineering, ETL development, and real-time data streaming technologies.

This role requires someone who can quickly understand business requirements, build scalable data pipelines, optimize data processing, and support production-grade cloud data solutions in a fast-paced banking environment.

Key Responsibilities

Design, develop, and maintain scalable data pipelines using AWS services.

Build and optimize ETL/ELT workflows using AWS Glue (PySpark/Python).

Develop serverless data processing solutions using AWS Lambda.

Design and manage data lakes using Amazon S3.

Develop and optimize data warehouse solutions using Amazon Redshift.

Work with Amazon DynamoDB and other AWS data services for high-performance applications.

Build and support real-time data streaming solutions using Amazon Kinesis and/or Apache Kafka.

Develop, schedule, and monitor workflows using Apache Airflow.

Write complex SQL queries and optimize database performance across OLTP and OLAP systems.

Implement Infrastructure as Code (IaC) using AWS CDK or Terraform.

Monitor, troubleshoot, and support production data pipelines.

Collaborate with cross-functional teams to deliver reliable and scalable data solutions.

Follow Agile development practices and participate in sprint planning, code reviews, and technical discussions.

Required Skills

12+ years of experience in Data Engineering.

Strong hands-on experience with:

AWS Glue (PySpark/Python)

Amazon S3

AWS Lambda

Amazon Redshift

Amazon DynamoDB

Amazon Kinesis and/or Apache Kafka

Apache Airflow

SQL

Python

Strong understanding of ETL/ELT development.

Experience working with OLTP and OLAP databases.

Hands-on experience with Infrastructure as Code (AWS CDK or Terraform).

Experience building and supporting production-grade AWS data platforms.

Strong analytical, troubleshooting, and problem-solving skills.

Excellent communication and collaboration skills.

Preferred Qualifications

Experience in the Banking or Financial Services domain.

Experience with real-time event-driven data architectures.

Familiarity with CI/CD pipelines and DevOps practices.

Knowledge of data governance, security, and AWS best practices.

AWS Certifications are an asset.

Ideal Candidate

Strong hands-on AWS Data Engineer with proven technical expertise.

Individual contributor capable of designing and developing scalable cloud data solutions.

Experience delivering enterprise-grade AWS data platforms in production environments.

Able to work independently while collaborating effectively with cross-functional teams.

Apply About employer

More about this job

Responsibilities

Design, develop, and support scalable AWS data platforms, including ETL/ELT pipelines, data lakes, warehouses, and real-time streaming solutions. Optimize and monitor production data workflows, implement infrastructure as code, and collaborate with cross-functional teams using Agile practices.

Requirements

Requires 12 or more years of data engineering experience and strong hands-on expertise with AWS data services, Python, SQL, ETL/ELT, and production-grade cloud platforms. Candidates should also have experience with OLTP and OLAP systems and infrastructure as code; banking experience, event-driven architectures, and AWS certifications are preferred or advantageous.

Skills

AWS Glue
PySpark
Python
Amazon S3
AWS Lambda
Amazon Redshift
Amazon DynamoDB
Amazon Kinesis
Apache Kafka
Apache Airflow
SQL
ETL/ELT
Infrastructure as Code
AWS CDK
Terraform
OLTP and OLAP

Visa sponsorship

Not detected in the job text

Keywords

AWS
Data Engineering
AWS Glue
PySpark
Python
Amazon S3
AWS Lambda
Amazon Redshift
Amazon DynamoDB
Amazon Kinesis
Apache Kafka
Apache Airflow
SQL
ETL/ELT
OLTP
OLAP
Infrastructure as Code
AWS CDK
Terraform
Data Lakes
Data Warehousing
Real-Time Streaming
Event-Driven Architecture
Agile
CI/CD
DevOps
Data Governance
Cloud Security
Banking
Financial Services

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