Media
Jan 21, 2022

Senior Manager, Data Ops and Engineering, Bell Media

Req Id: 338900 

 

At Bell, we do more than build world-class networks, develop innovative services and create original multiplatform media content - we advance how Canadians connect with each other and the world.

 

If you’re ready to bring game-changing ideas to life and join a community that values professional growth and employee wellness, we want you on the Bell team. 
 

The Bell Media team creates and delivers the best Canadian and international content across our digital media, television, radio, and out-of-home advertising platforms. We’re looking for innovative team players ready to take some of the most well-known entertainment brands in the country to the next level.

 

Bell Media’s Data Science and Infrastructure team is building out the next generation of experience for customers across Digital and Linear properties. We lead strategic development and execution of day-to-day operations, develop tools and processes to drive performance enhancements, manage customer loyalty and retention, and leverage big data and artificial intelligence to create intellectual property.

 

Bell Media’s Data Science & Infrastructure team is responsible for the management and optimization of BI systems used to analyze customer behavior, automate business insight processes, target marketing and provide insight to drive optimal business decisions.

 

Our Data Ops & Engineering group builds and maintains the platform that delivers accessible data to power decision-making.

 

Key Responsibilities

  • Build and maintain data pipelines, provision infrastructure and secure reliable data centric services and applications in AWS and Google Cloud Platform
  • Own the Data Engineering and ops roadmap
  • Assist in extracting, loading, transforming, cleaning and validation of data
  • Support data pipelines feeding into ML algorithms and models
  • Support ad-hoc data analysis requests to advance our digital analytics practice

 

Minimum Qualifications

  • AWS Professional Solution Architect Certification
  • Minimum 5 years of hands-on experience analyzing, re-architecting and re-platforming on-premise data warehouses to data platforms on AWS / GCP
  • Minimum 3-5 years of designing and building production data pipelines from ingestion to consumption within a hybrid big data architecture, using Java, Python, Scala etc.  
  • Minimum 3-5 years of architecting and implementing next generation data and analytics platforms on AWS / GCP
  • Minimum 3-5 years of designing and implementing data engineering, ingestion and curation functions on AWS / GCP or custom programming
  • Minimum 3-5 years experience in performing detail assessments of current state data platforms and creating an appropriate transition path to AWS / GCP

 

Preferred Qualifications

  • Bachelor's degree in Computer Science, Engineering, Technical Science or 5+ years of technical architecture and build experience with large scale solutions
  • Experience with CDPs and Looker for data visualization an Asset
  • Minimum 5 years of experience in architecting large-scale data solutions, performing architectural assessments, crafting architectural options and analysis, finalizing preferred solution alternative working with IT and Business stakeholders
  • 5 years of hands-on experience designing and implementing data ingestion solutions on AWS / GCP using custom approaches
  • 3-5 years of hands-on experience architecting and designing data lakes on AWS / GCP cloud serving analytics and BI application integrations
  • 3-5 years of experience in designing and optimizing data models on AWS / GCP 
  • 3-5 years of experience integrating security services with AWS / GCP data services for building secure data solutions  
  • 3-5 Architecting and implementing data governance and security for data platforms on AWS / GCP
  • Designing operations architecture and conducting performance engineering for large scale data lakes a production environment 

#LI-PG 

 

Bilingualism is an asset (English and French); adequate knowledge of French is required for positions in Quebec. 

 

Additional Information:

Position Type: Management 
Job Status: Regular - Full Time 
Job Location: Canada : Ontario : Toronto || Canada : Alberta : Calgary || Canada : British Columbia : Vancouver || Canada : Ontario : Don Mills || Canada : Ontario : Mississauga || Canada : Quebec : Dorval || Canada : Quebec : Montreal || Canada : Quebec : Verdun 

Flexible work profile: Mobile
Application Deadline: 02/04/2022 

 

Please apply directly online to be considered for this role.  Applications through email will not be accepted.

 

At Bell, we don’t just accept difference - we celebrate it. We’re committed to fostering an inclusive, equitable, and accessible workplace where every team member feels valued, respected, and supported, and has the opportunity to reach their full potential. We welcome and encourage applications from people with disabilities.

 

Accommodations are available on request for candidates taking part in all aspects of the selection process. For a confidential inquiry, simply email your recruiter directly or recruitment@bell.ca to make arrangements. If you have questions regarding accessible employment at Bell please email our Diversity & Inclusion Team at inclusion@bell.ca.

 

Created: CanadaONToronto

 

Bell, one of Canada's Top 100 Employers.