markham on data warehouse Jobs – 22 Openings This Week

Technical Lead - Cloud Data Warehouse
Massive Insights —Toronto, ON
- Hybrid work
- Azure
- Computer Science
- Sales
- Dental care
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Technical Lead - Cloud Data Warehouse
Massive Insights —Toronto, ON
College or University degree in Computer Science, Mathematics, Data Science and/or relevant degree. The Technical Lead - Cloud Data Warehouse provides overall…
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Systems Integration Lead - Temporary Assignment Up to 18 Months (2)
Municipal Property Assessment Corporation —Pickering, ON
Please note that MPAC prohibits employees from holding a current/valid real estate license and successful applicants must at least suspend their real estate…
$110,783–$132,157 a year
1d

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Technical Lead - Cloud Data Warehouse
Massive Insights —Toronto, ON
College or University degree in Computer Science, Mathematics, Data Science and/or relevant degree. The Technical Lead - Cloud Data Warehouse provides overall…
Quick apply

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Technical Lead - Cloud Data Warehouse

Massive Insights
Toronto, ON

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Job details

Permanent

Qualifications

Data modeling
Azure
Computer Science
Sales
Mathematics
Google Cloud Platform
AWS
Bachelor's
Talend
Metadata
Business
Data warehouse
Python
Pre-sales
Data Science

Full job description

Company Description

We are innovative data and analytics professionals who accelerate the data agenda of our clients. We make data come to life in marketing automation, algorithms, insights, and visualizations. We are a lean, fast partner alternative to other professional service consulting firms.

Job Description

The Technical Lead - Cloud Data Warehouse provides overall leadership to the team of data engineers, analysts and architects to implement world-class data solutions that meet our clients’ diverse business objectives and needs. This role is both a client-facing consulting role and a hands-on programming/development role. Working with teams of internal and clients’ data engineers and architects, this role will lead in the delivery on modernizing their current data infrastructure, including data warehouses, data lakes and data marts. This role will be responsible for leading and contributing to the team responsible for the architecture and development of data ingestion processes, performance, administration, and design of database structures.

RESPONSIBILITIES

Supervise team activities including work scheduling, technical direction, and standard development practices; staff project and/or production support activities being mindful of the associated costs.
Assist in the delivery of cloud-based data warehouse, lake, and mart solutions
Understand data landscape i.e. tooling, tech stack, source systems etc. and work closely with client technology teams to improve data collection, quality, reporting and analytics capabilities
Design, document, and implement data warehouse strategies, including building ETL, ELT, and Data Pipeline processes
Develop processes for loading and transforming of large volumes of structured and semi-structured data
Responsible for data architecture, data modeling and data governance to implement high-performance, highly secure solutions
Participate in data warehouse development by defining metadata and security standards
Perform a variety of tasks to facilitate completion of projects including but not limited to coordinating communication with outside departments, writing documentation and specifications, testing, and consulting
Mentor less experienced team members
Support pre-sales and solution engineering activities

Qualifications

10+ years experience in data warehouse, data modeling, ETL, BI projects
5+ years experience working in client-facing, consulting role
3+ years hands-on experience with Snowflake cloud data warehouse
3+ years hands-on experience in python development and ETL tools (Matillion, Talend, etc)
3+ years experience leading technical team of data engineers and architects
Completed cloud warehouse projects in at least 2 of AWS, Azure, GCP cloud technologies
Maintain and achieve technical cloud certifications (AWS, Azure, or Snowflake)
Ability to work and communicate with both business and technical experts
College or University degree in Computer Science, Mathematics, Data Science and/or relevant degree

Additional Information

Hybrid work location (remote and/or office option available)
Fully employer paid health and dental benefits
A criminal and background check will be required

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