Markham, On Data warehouse engineer Jobs – 81 Openings This Week

Sr Snowflake Engineer
Apexon —Toronto, ON
- $100,000–$140,000 a year
- Full-time
- Azure
- SQL
- AWS
Quick apply
RQ11159 - Sr. Database Administrator
Source Code —Toronto, ON
- $60.48–$90.72 an hour
- Full-time
- Azure
- Oracle
- DevOps
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Senior ERP LN Production Planning Analyst
Armstrong Fluid Technology —Toronto, ON
- $70,000–$120,000 a year
- Full-time
- Computer Science
- Engineering
- ERP systems
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Sr. Data Architect, Enterprise Data Platform
Healthcare of Ontario Pension Plan (HOOPP) —Toronto, ON
- Full-time
- DevOps
- SQL
- AWS
- Dental care
Director of Commercial Data Engineering
Scotiabank —Scarborough, ON
- Azure
- Computer Science
- PMP
- Tuition reimbursement
Senior Microsoft Azure and Databricks Architect
Adastra Corporation —Markham, ON
- Full-time
- Hybrid work
- Azure
- Financial services
- Analytics
Product Manager — Services
TTEC Digital —Toronto, ON
- Full-time
- Remote
- APIs
- Analytics
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Solution Architect
Tata Consultancy Services —Toronto, ON
- Azure
- AWS

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RQ11159 - Sr. Database Administrator
Source Code —Toronto, ON
Experience in impact analysis, implementation planning and implementation of technology or suite specific patches, maintenance packs and releases, and…
$60.48–$90.72 an hour
Quick apply

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Director of Commercial Data Engineering
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Undergraduate degree in Computer Science, Engineering, or related discipline or equivalent experience preferred; advanced degree or masters an asset.
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Sr Snowflake Engineer

Apexon -
Toronto, ON

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Job details

Permanent | Full-time
$100,000–$140,000 a year

Qualifications

CI/CD
Looker
Power BI
Data modeling
Azure
Test automation
Google Cloud Platform
Tableau
SQL
AWS
Virtualization
Terraform
GitHub
Kafka
Jenkins
Data warehouse
Python
Analytics

Full job description

Job role : Sr Snowflake Engineer

Location: Downtown Toronto

FTE or contract

5 to 6 years of experience - if more years better

Sr Snowflake Engineer:

Job Overview

We are building a modern data platform centered on Snowflake and we’re seeking a Snowflake-focused data professional to design, build and operationalize Snowflake-native solutions. The role combines advanced Snowflake development (Snowpark, Streams & Tasks, Snowpipe), data architecture and platform engineering to deliver performant, secure, governed data products, developer utilities and Snowflake-based apps that enable analytics and data products across the business.

Reports To
Director, Data and AI

Responsibilities and Duties

· Lead design and implementation of Snowflake-based data architectures: schemas, data vault/house/star models, materialized views, and zero-copy cloning patterns for environments.

· Build and maintain production ETL/ELT pipelines into Snowflake using Snowpipe, Snowpark, Streams & Tasks and partner tools (Streamsets, dbt, Fivetran, Matillion, Airbyte, etc.).

· Develop Snowflake-native utilities and apps (Snowpark for Python, UDFs, external functions, and internal tools) to accelerate developer productivity and data product delivery.

· Optimize query performance and cost through clustering keys, partitioning strategies, resource monitors, warehouse sizing, and workload isolation.

· Implement data governance, security and access controls in Snowflake based on role-based access, masking policies, object tagging, data lineage and audit logging.

· Automate infrastructure and deployments leveraging IaC for Snowflake objects and cloud infra CI/CD pipelines, and automated testing for SQL/Snowpark code.

· Build observability and operational tooling by monitoring, alerting, usage/cost reporting, and incident playbooks for Snowflake workloads.

· Mentor engineers, review designs and contribute to roadmap decisions for Snowflake platform evolution.

Required skills and experience

· Strong hands-on experience designing and operating Snowflake in production

· Deep experience with Snowflake features, like Snowpark, Streams & Tasks, Snowpipe, Time Travel, cloning, materialized views, external functions and user-defined functions.

· Hands-on ETL/ELT development experience with dbt, SQL, and one or more ingestion tools (Streamsets, Fivetran, Matillion, Airbyte, Kafka connectors).

· Proficient in Python (Snowpark/connector), SQL tuning and query optimization techniques.

· Experience with IaC and automation (Terraform, GitHub Actions, Jenkins, or equivalent).

· Strong knowledge of cloud platforms and native services (AWS, Azure or GCP) as they relate to Snowflake deployment and integrations.

· Solid understanding of medallion architecture, data modeling patterns, data governance, and secure data sharing.

· Demonstrated ability to implement CI/CD, automated testing and production operational practices for data workloads.

Preferred qualifications

· Snowflake SnowPro Core or advanced Snowflake certifications.

· Experience with dbt (core or Cloud) for transformation and modular SQL engineering.

· Experience with data virtualization, data catalogs or data lineage tools.

· Familiarity with analytics and BI integrations (Looker, Tableau, Power BI) and building Snowflake-optimized semantic layers.

· Experience building internal developer tools or data apps using Snowpark or lightweight web frameworks.

Pay: $100,000.00-$140,000.00 per year

Work Location: In person

Quick apply

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data warehouse engineer jobs in markham, on

Sr Snowflake Engineer

RQ11159 - Sr. Database Administrator

Senior ERP LN Production Planning Analyst

Sr. Data Architect, Enterprise Data Platform

Director of Commercial Data Engineering

Senior Microsoft Azure and Databricks Architect

Product Manager — Services

Solution Architect

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