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Tekshapers

Data Engineer

Toronto, ON, Canada

Full-time

Within 25 km of Vaughan · About 22.9 km from the city centre

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Job details

Job type: Full-time
Apply by: Nov 5, 2026
Posted: Oct 6, 2026

Original job description

Total Experience: 6 - 8 years

Role Description: Design and implement scalable, secure and efficient enterprise data architectures aligned with business requirement and also architect modern data warehouse, data lakes, and cloud-based data plat form using ETL, Azure, ADF, Databricks, big data and AWS.

Required Skill Set:

Minimum 4-5 years of experience in ETL, Azure, ADF, Databricks, Bigdata, AWS.

Design and implement scalable, secure and efficient enterprise data architectures aligned with business requirement.

Develop conceptual, logical, and physical data models to support operational and anlytical system.

Architect modern data warehouses, data lakes, and cloud-based data.

Define data integration strategies, including ETLELT pipelines, batch processing and real-time.

Evaluate and recommend data technologies platforms, and architectural solution based on business needs.

“Tekshapers is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.”

*Disclaimer: This E-Mail may contain Confidential and/or legally privileged Information and is meant for the intended recipient(s) only. If you have received this e-mail in error and are not the intended recipient/s, kindly notify us at itsupport@tekshapers.com and then delete this e-mail immediately from your system. You are also hereby notified that any use, any form of reproduction, dissemination, copying, disclosure, modification, distribution, and/or publication of this e-mail, its contents, or its attachment/s other than by its intended recipient/s is strictly prohibited and may be unlawful.

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More about this job

Responsibilities

Design and implement scalable, secure enterprise data architectures aligned with business requirements, and develop conceptual, logical, and physical data models. Architect modern data warehouses, data lakes, and cloud data platforms, while defining data integration strategies and recommending suitable technologies and solutions.

Requirements

The role requires 6–8 years of total experience, including at least 4–5 years working with ETL, Azure, Azure Data Factory, Databricks, big data, and AWS. Candidates should have experience designing data architectures and models, building data platforms and integration pipelines, and evaluating technology solutions against business needs.

Skills

ETL
Azure
Azure Data Factory
Databricks
Big Data
AWS
Enterprise Data Architecture
Data Modeling
Data Warehousing
Data Lakes
Cloud Data Platforms
Data Integration
ELT Pipelines
Batch Processing
Real-Time Processing
Data Architecture

Visa sponsorship

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Keywords

ETL
ELT
Azure
Azure Data Factory
Databricks
Big Data
AWS
Enterprise Data Architecture
Conceptual Data Models
Logical Data Models
Physical Data Models
Data Warehouses
Data Lakes
Cloud Data Platforms
Data Integration
Batch Processing
Real-Time Processing
Operational Systems
Analytical Systems
Technology Evaluation
Data Architecture Solutions

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