Data center manager Jobs in North York, ON
- Promoted
Manager Data Engineering
Yoush ConsultingToronto, Ontario, Canada
ICC Data Center Infrastructure Leader
AlstomToronto, ON, CA
Manager, Data Science
Royal Bank of Canada>TORONTO, Canada
Clinical Data Manager
Everest Clinical Research Services IncMarkham, Ontario, CAN
Data Science Manager
LyftToronto, Canada
Manager, Business (Data) Process Analytics
Apex SystemsToronto, ON
Manager, Data Engineering
Project XNorth York, ON- Promoted
- New!
Data Privacy Manager
Quantum World Technologies Inc.Toronto, ON, Canada- Promoted
Data Manager
BrunelToronto, ON, Canada- Promoted
Data Science Manager
placingITpeopleToronto, ON, Canada
Data Center Technician
CB CanadaVaughan, Ontario, Canada
Manager, Data Governance
BMOToronto, Ontario, Canada- Promoted
ICC Data Center Infrastructure Leader
ALSTOM GruppeOld Toronto, ON, Canada
Senior Data Center Commissioning Project Manager (Electrical)
VeoliaMontreal / Toronto / Calgary, Quebec / Ontario, CA
Network Analyst – Data Center Operations
BeachHeadToronto, ON
Data Center (Lab) Engineer
AMDMarkham, ON
Data Center Critical Facilities IV
EquinixToronto
Manager - Data Analytics
ScotiabankToronto, ON
Sustainability Data Manager
Element Fleet ManagementToronto
Senior Manager - Data Center GPU Manufacturing Test and Validation
Advanced Micro Devices, IncMARKHAM, Ontario, CanadaManager Data Engineering
Yoush ConsultingToronto, Ontario, Canada- Full-time
Welcome to Yoush Consulting.
Our Client is looking for a Manager of Data Engineering.
As Manager Data Engineering you will both lead a team of Data Engineers and work with stakeholders to identify opportunities to drive business value by leveraging data analytics and AI. You will leverage expertise and handson technical skills to implement data design management storage integration cloud and best practices while using your strong business sense and ability to communicate with both business and IT to influence how the firm approaches business challenges.
Responsibilities / Skills Needed
Ingest and transform unstructured structured (OLTP) data from multiple systems across the firm
Identify internal and external data to mine for client business opportunities and operational improvements
Maintain and enhance a Data Warehouse and central data repository for the firm
Design and build ETL pipelines
Champion machine learning and AI related initiatives
Create and iterate on data prototypes to test and validate new data solutions and technologies
Turn raw data into valuable insights that the firm can use to grow and compete
Establish policies and frameworks that improve data governance and data quality in the firm
Lead and influence key data architectural designs and migrations
People Management :
Lead mentor and inspire a team of data engineers to perform at their best Work
Foster collaboration knowledge sharing support amongst team members
Work closely with the team to understand and deliver on organizational objectives while developing thorough change management strategies
Organize incoming work and staff assignments to meet committed deadlines
Support and collaborate with business reporting tea m
Develop strong relationships with business unit stakeholders to help foster a datadriven and innovative culture
Requirements
3 years experience in leading a highperformance technical team
5 years of progressive Data Engineering experience in Python R SQL and PowerShell scripting
Mandatory experience with Azure Synapse and DW technologies Microsoft Data Technologies (Azure Data Factory PowerBI etc.)
Experience with Azure (app services API management security features)
Experience in organizing and conditioning data and conducting big data analysis
Excellent written and verbal communication skills : ability to clearly communicate with business and technical stakeholders
Strong problemsolving and analytical abilities creativity and insight with the ability to address complex situations with stakeholders
Knowledge of machine learning is a strong asset
Knowledge and some experience in data science predictive modelling is a strong asset
Application Experience :
Experience with applications such as Azure DevOps Microsoft Dynamics 365 iFirm Workday Power BI and Systems Integration
Education :
Degree in Computer Science Math Statistics or STEMrelated field. A Masters Degree and / or Ph.D is a strong asset but not required
We look forward to speaking with you.
3+ years\' experience in leading a high-performance technical team 5+ years of progressive Data Engineering experience in Python, R, SQL and PowerShell scripting Mandatory experience with Azure Synapse and DW technologies, Microsoft Data Technologies (Azure Data Factory, PowerBI, etc.) Experience with Azure (app services, API management, security features) Experience in organizing and conditioning data and conducting big data analysis Excellent written and verbal communication skills : ability to clearly communicate with business and technical stakeholders Strong problem-solving and analytical abilities, creativity, and insight with the ability to address complex situations with stakeholders Knowledge of machine learning is a strong asset Knowledge and some experience in data science, predictive modelling is a strong asset Application Experience : Experience with applications such as Azure DevOps, Microsoft Dynamics 365, iFirm, Workday, Power BI, and Systems Integration Education : Degree in Computer Science, Math, Statistics or STEM-related field. A Masters Degree and / or Ph.D is a strong asset, but not required We look forward to speaking with you.