Jobs in Vaughan

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Within 25 km of Vaughan

Added 16 hours ago
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Obsidi®

Data Engineer | Data & AI Technology

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
Posted: Oct 26, 2026

Original job description

The Data Engineer plays a critical role within the Enterprise Data & AI Technology organization. This organization drives data enabled decision making, AI innovation, and technology modernization across the Bank.

What is the Role

You will design, build, and maintain scalable, resilient data pipelines to support the ingestion, processing, and distribution of large datasets.
You will leverage SaaS platforms and tools to develop, configure, and automate data workflows, improving efficiency across the data engineering lifecycle.
You will partner with stakeholders and product managers to gather requirements, design ingestion patterns, and onboard new data sources into the cloud data platform.
You will implement observability capabilities and continuously optimize application services and pipeline performance.
You will perform data integrity validation to ensure accuracy, reliability, and consistency of data.

Experience:

Experience building data pipelines, and composable cloud-based data platforms (Azure), using Azure Data Factory, ADLS.
Experience working with Lakehouse platforms: Databricks, Unity Catalog, Auto Loader
Experience with data engineering, programming, ETL and ELT processes for data extraction and processing
Experience working with structured, semi-structured, and unstructured data.
Strong programming and scripting skills (SQL, Python, Java, Scala)
Strong knowledge of cloud infrastructure and microservices architecture
Experience in creating technical design documentations, both logical and physical view
Experience collaborating and working with DevOps, Scrum, and Product Teams
Demonstrated team player with strong communication skills and a track record of successful delivery of product development.
Solid communication skills – ability to translate complex technical problems to business language
Experience in leading and driving technical discussions
Expert at problem solving and debugging

Technical Skills

4+ years of experience working with Data Warehouse / Data Platforms
4+ years of experience creating ELT / ETL data pipelines, working with structured, semi-structured, and unstructured data
4+ years of experience working on continuous integrations and continuous deployment pipeline (CI/CD) and working with source control systems such as Github, Bitbucket, and Terraform
Must have 4+ years of experience in Cloud: Azure
Must have 4+ years of experience in Lakehouse: Databricks

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More about this job

Responsibilities

Design, build, and maintain scalable data pipelines and cloud data workflows, including onboarding data sources and supporting ingestion, processing, and distribution. Improve pipeline performance and observability, validate data integrity, and collaborate with stakeholders and product teams on requirements and technical designs.

Requirements

Requires at least four years of experience with Azure, Databricks, data platforms, ETL/ELT pipelines, and CI/CD and source control systems. Candidates should have strong programming skills, experience with varied data types and cloud architecture, and the ability to lead technical discussions, troubleshoot problems, and communicate effectively with technical and business teams.

Skills

Data Pipeline Engineering
Azure
Azure Data Factory
Azure Data Lake Storage
Databricks
Unity Catalog
Auto Loader
SQL
Python
Java
Scala
ETL/ELT
CI/CD
Terraform
Data Validation
Microservices Architecture

Visa sponsorship

Not detected in the job text

Keywords

Enterprise Data
Artificial Intelligence
Data Engineering
Data Pipelines
Azure
Azure Data Factory
Azure Data Lake Storage
Databricks
Unity Catalog
Auto Loader
Lakehouse
Cloud Data Platform
ETL
ELT
Structured Data
Semi-Structured Data
Unstructured Data
SQL
Python
Java
Scala
Microservices Architecture
Data Warehousing
CI/CD
GitHub
Bitbucket
Terraform
Data Observability
Data Integrity Validation
Scrum

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