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Data engineer Jobs in Brampton, ON

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Data engineer • brampton on

Last updated: 3 days ago
Azure Data Architect

Azure Data Architect

Astra North Infoteck Inc.Brampton, ON, ca
Full-time
Quick Apply
Brampton - Hybrid (2-3 days from Office).Architecture & Solution Design.Define end to end data platform reference architectures using Azure services such as Azure Synapse / SQL, Microsoft Fabric ...Show moreLast updated: 3 days ago
Remote Senior SQL Engineer - AI Trainer

Remote Senior SQL Engineer - AI Trainer

SuperAnnotateBrampton, Ontario, CA
Remote
Full-time
As a Senior SQL Engineer, you will work remotely on an hourly paid basis to review AI-generated SQL queries, database designs, and data-processing logic, as well as generate high-quality reference ...Show moreLast updated: 30+ days ago
Senior Developer (Data)

Senior Developer (Data)

Farm Credit CanadaVarious FCC office s in Ontario may be considered
Full-time
Salary Range (plus eligible to receive a performance based incentive, applicable to position) : .Experienced data developer needed. Using your experience in Agile Scrum methodology and AWS data pipel...Show moreLast updated: 30+ days ago
Data Product Analyst

Data Product Analyst

Maple Leaf FoodsMississauga - Financial Dr., ON, Canada
Part-time
We’re looking for a creative, self-motivated Data Product Analyst to power the analytics behind our Revenue Growth Management strategy. Join us and help build the analytical tools that shape pricing...Show moreLast updated: 9 days ago
Corporate Reliability Engineering Co-Op

Corporate Reliability Engineering Co-Op

IKOBrampton, ON
Full-time
Competitive compensation - $22 / hour - $25 / hour.Be part of a long-standing and stable industry leader.Assist Reliability Engineers to perform data analysis, categorization of parts, parts usage rate...Show moreLast updated: 30+ days ago
Senior / Lead Data Engineer

Senior / Lead Data Engineer

McKesson2300 Meadowvale Blvd, CAN, ON, Mississauga
Full-time
The Senior / Lead Data Engineer will bepart of McKesson Decision Intelligence team, and responsibilities include managing data exploration and analysis, requirements assessment, data source identif...Show moreLast updated: 30+ days ago
Senior Data Scientist

Senior Data Scientist

SOTIMississauga, Canada – Meadowvale Office (HQ)
Full-time
SOTI is committed to providing its employees with endless possibilities; learning new things, working with the latest technologies and making a difference in the world. Job Title : Senior Data Scient...Show moreLast updated: 30+ days ago
Data Modeler

Data Modeler

ShoreWise ConsultingOntario, CA
Full-time
Describe what makes your company great.Experience with Guidewire, Mitchell, and CCX data model is required.Fundamental knowledge of Property and Casualty industry products and services.In depth exp...Show moreLast updated: 30+ days ago
Business Intelligence Engineer

Business Intelligence Engineer

businessIn-person
Full-time
HireArt is helping an on-demand, autonomous ride-hailing company hire a Business Intelligence Engineer to empower teams and leadership with actionable metrics and visualizations that uphold safety ...Show moreLast updated: 30+ days ago
Business Data Analyst

Business Data Analyst

QA Consultants Inc.Woodbridge, Ontario, Canada
Full-time
In just three decades, ALTEN has become a global leader in Research & Development, Engineering, IT Services, Life Sciences, and Network Services. With a presence in more than 30 countries and a team...Show moreLast updated: 24 days ago
Manager, Data Analytics

Manager, Data Analytics

The Home Depot8966 Huntington Rd, Vaughan, ON L4H 3V1
Full-time
At The Home Depot Canada, we want you to feel valued and supported.The pay range you see represents base salary only.In addition, your total rewards may include : semi-annual bonuses tied to busines...Show moreLast updated: 9 days ago
Data Scientist

Data Scientist

DPDHLMississauga, ON, L5R3R3, Canada
Full-time
The base salary range for this role is $82,000-$147,000 CAD annually.Would you like to join the Logistics Company for the World? DHL Supply Chain is just that. Become an essential part of everyday l...Show moreLast updated: 25 days ago
Quality Engineer

Quality Engineer

Acara SolutionsBrampton, ON
Full-time
Are you looking to further your career and grow?.If you answered yes to those three questions, then apply today! .Acara Solutions seeks highly qualified candidates to work .The Quality Engineer is ...Show moreLast updated: 30+ days ago
Sr. Data Scientist

Sr. Data Scientist

MCD McKesson Canada Corporation / La Corporation McKesson Canada2300 Meadowvale Blvd, CAN, ON, Mississauga
Full-time
Location : hybrid in Mississauga, ON.This role partners with business stakeholders to translate requirements into technical solutions, ensures robust model governance and performance benchmarking, a...Show moreLast updated: 3 days ago
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Azure Data Architect

Azure Data Architect

Astra North Infoteck Inc.Brampton, ON, ca
3 days ago
Job type
  • Full-time
  • Quick Apply
Job description

Job Description

Azure Data Architect

Brampton - Hybrid (2-3 days from Office)

Experience Range : 8+ years

1) Architecture & Solution Design

  • Define end to end data platform reference architectures using Azure services such as Azure Synapse / SQL, Microsoft Fabric (Lakehouse, Warehouse, Semantic Models), Databricks, Azure Data Lake Storage Gen2, Data Factory / Synapse Pipelines, Event Hubs / Kafka, and Stream Analytics.
  • Select appropriate storage and compute patterns (e.g., lakehouse, data mesh, medallion zones, Delta format) aligned to use cases, SLAs, and scalability needs.
  • Produce and maintain HLD / LLD, Architecture Decision Records (ADRs), ERDs, and interface / API specifications.

________________________________________

2) Data Modeling & Engineering Patterns

  • Establish dimensional (Kimball), 3NF, and Data Vault models where appropriate; promote semantic models for BI (Power BI / Fabric).
  • Define ingestion and processing patterns (batch, streaming, CDC, micro batch) and file format standards (Parquet, Delta Lake, Avro).
  • Set coding standards and performance guidelines for SQL, T SQL, PySpark, and Spark SQL.

    • ________________________________________

    3) Data Integration & Pipelines

  • Architect robust ETL / ELT pipelines with ADF / Synapse Pipelines, Fabric Data Factory, Databricks Workflows, and orchestration using ADF triggers and Logic Apps.
  • Integrate data from ERPs / CRMs, SaaS applications, APIs, and on prem systems via Self hosted Integration Runtime, Event Hubs, Kafka, Service Bus, and Change Data Capture tools.

    • ________________________________________

    4) Governance, Security & Compliance

  • Implement data governance (catalogs, lineage, glossary, ownership) using Microsoft Purview; establish data mesh guardrails and federated governance practices.
  • Enforce security using Azure AD (Entra ID), RBAC / ABAC, Managed Identities (MSI), Key Vault, Private Endpoints, VNet integration, row / column level security, dynamic data masking, and encryption at rest / in transit.
  • Define data quality, master / reference data practices, and support audit, retention, and regulatory requirements.

    • ________________________________________

    5) Performance, Reliability & Cost Optimization

  • Design for scalability and resilience (partitioning, caching, Z ordering, concurrency control, workload isolation).
  • Tune Spark and SQL workloads; optimize storage layouts; configure auto optimize / auto compaction strategies (e.g., Delta).
  • Own FinOps for data platforms : capacity planning, cost governance, tagging, budgets / alerts, and rightsizing.

    • ________________________________________

    6) DevOps, CI / CD & Observability

  • Establish CI / CD for data and infrastructure using Azure DevOps or GitHub Actions, with Terraform / Bicep and deployment strategies (blue green, canary).
  • Implement monitoring and alerting with Azure Monitor, Log Analytics, Fabric / Databricks observability, and custom dashboards; define SLOs / SLIs for data pipelines.
  • Define backup & disaster recovery strategies and RPO / RTO targets for critical datasets.

    • ________________________________________

    7) Leadership & Collaboration

  • Lead data architecture governance and design reviews; mentor data engineers and analysts.
  • Partner with Product, Security, Enterprise Architecture, and Business stakeholders to align roadmaps and priorities.
  • Drive vendor / tool evaluations, proofs of concept, and build vs buy decisions.

    • ________________________________________

    Skills & Experience

    Required

  • 7+ years in data architecture / engineering, including 3–5 years with Azure data services.
  • Hands on expertise with several of the following :

    • o Azure Synapse Analytics / Azure SQL

    o Microsoft Fabric (Lakehouse, Warehouse, Semantic Models / DAX)

    o Databricks (Spark, Delta Lake, Unity Catalog), PySpark / Spark SQL

    o ADLS Gen2, Data Factory / Synapse Pipelines / Fabric Data Factory

    o Event Hubs, Service Bus, Kafka, Stream Analytics, CDC tools

  • Strong data modeling (dimensional, 3NF, Data Vault) and ELT / ETL design.
  • Proficient in SQL, T SQL, PySpark; solid understanding of metadata management and lineage.
  • Security & networking basics : AAD, RBAC, VNets, Private Endpoints, Key Vault, Managed Identities.
  • IaC & DevOps : Terraform / Bicep, Git, Azure DevOps / GitHub, automated testing for data pipelines.

    • Preferred

  • Experience with data mesh and lakehouse patterns; MLOps handoffs (Feature Store, Model Registry).
  • Performance engineering at large scale (TB–PB).
  • Knowledge of data quality frameworks (e.g., Great Expectations, Deequ) and DQ scorecards.
  • Exposure to Microsoft Purview (catalog, classifications, policies).
  • Familiarity with privacy / compliance (SOX, HIPAA, GDPR, PCI).

    • Requirements

    Experience (Years) : 4-6 Essential Skills :

  • Work with project teams throughout the organization to design, implement, and manage CDN infrastructure using Akamai, to ensure high availability, performance, and scalability for customer facing applications and business processes.
  • Handle multiple priorities and assignments with excellence and precision.
  • Be a part of a 24 / 7 / 365 organization (some after hours support is expected as part of normal on-call rotation).
  • Directly support line of business development teams, provide guidance to them on implementation and changes for customer facing applications
  • Develop and maintain security protocols and measures to protect CDN infrastructure from cyber threats.
  • Monitor and analyze network performance, identifying and resolving issues to optimize content delivery of critical applications.
  • Collaborate with cross-functional teams to integrate Akamai CDN solutions with existing systems and applications.
  • Collaborate with information security teams to implement DDoS protection strategies and other security measures in the CDN.
  • Provide technical support and guidance to clients and internal teams regarding CDN and security best practices.
  • Work closely with vendor and professional service teams on delivery related activities and strategy. Qualifications :
  • Bachelor’s degree in Computer Science, Information Technology, or a related field. OR similar work experience.
  • Strong understanding of network protocols (HTTP / HTTPS, DNS, TCP / IP).
  • Proven experience as a CDN Engineer or similar role, with a strong focus on cybersecurity.
  • In-depth knowledge of Content Delivery Network technologies, including caching, load balancing, and content optimization.
  • Excellent problem-solving skills and attention to detail.
  • Strong communication and teamwork abilities.
  • Experience supporting 24 / 7 / 365 customer facing applications at enterprise scale.
  • Awareness and experience with cybersecurity tools and practices, such as firewalls, intrusion detection / prevention systems, and encryption.
  • Proficiency in scripting and automation (e.g., Python, Bash) a plus.
  • Relevant certifications (e.g., CISSP, CEH) are a plus but not required.