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In order to meet the growing needs of our customers, we are constantly searching for dynamic, qualified individuals to join the CTC resource team. Currently, there are several career opportunities available at CTC. If you feel you satisfy the qualifications for one of the positions listed on this page, please send your CV to identifying the position(s) you are interested in. Qualified individuals will be contacted by our human resources department.
CTC006407 : Cloud Data Engineer
Location : Toronto, Ontario
Field : Data Engineer
Position Type : Contract
Starting : December 6, 2021
Ending : June 10, 2022
Resources Required : 1
Position Description


At the office 2-3 days a week, the rest of time will work remotely from home

Top 3 qualifications:

  • Hands-on experience working on IT and business transformations to cloud technologies
  • Experience with Google Cloud Platform-GCP technologies (BigQuery, etc)
  • Deep technical background expertise in BI and Analytics

About the team

Client’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.

Client’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 or Google Cloud Certification
  • Minimum 5years 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.