Job Data Engineer in Toronto

Business Consulting

As a member of the Enterprise Data Platform team, reporting to the EDP AI/ML Senior Manager, the Cloud Data Engineer and Analytics DevOps will play a leading role in the development of new products, capabilities, and standardized practices using Cloud and Data technologies. Working closely with our business partners, this person will be part of a team that advocates the use of advanced Data technologies to solve business problems, and be a thought-partner in Data space.
Insights you can act on

While technology is at the heart of our clients’ digital transformation, we understand that people are at the heart of business success.

When you join CGI, you become a trusted advisor, collaborating with colleagues and clients to bring forward actionable insights that deliver meaningful and sustainable outcomes. We call our employees “members” because they are CGI shareholders and owners and owners who enjoy working and growing together to build a company we are proud of. This has been our Dream since 1976, and it has brought us to where we are today — one of the world’s largest independent providers of IT and business consulting services.

At CGI, we recognize the richness that diversity brings. We strive to create a work culture where all belong and collaborate with clients in building more inclusive communities. As an equal-opportunity employer, we want to empower all our members to succeed and grow. If you require an accommodation at any point during the recruitment process, please let us know. We will be happy to assist.

Ready to become part of our success story? Join CGI — where your ideas and actions make a difference.
Your future duties and responsibilities

  • Participate in all aspects of Data solution delivery life cycle utilizing both on-prem data technologies and public cloud (GCP, AWS, Azure)
  • Build, own and manage data engineering pipelines, workflows and standardized practices for delivering new products and capabilities using Data and Cloud technologies, including data acquisition, transformation, processing and analysis
  • Ensure Big Data practices integrate into overall data architectures and data management principles (e.g. data governance, data security, metadata, data quality)
  • Execute end to end CI/CD data engineering steps including code build/test/merge and provide feedback to developers
  • Assist in the development of comprehensive and strategic business cases used at management and executive levels for funding and scoping decisions on Big Data solutions
  • Troubleshoot production issues within the Hadoop environment and Cloud
  • Perform optimization and tuning of data workflow processes and applications
Required qualifications to be successful in this role
  • Bachelor in Computer Science, Engineering Management Information Systems, or Computer Information Systems is required.
  • Minimum of 5 years experience in developing data pipelines and workflows in GCP data platforms, services and applications (Pub/Sub, Storage, Dataflow, Dataproc BQ, Airflow, Composer)
  • Minimum 5 years of CI/CD deployment, code management platform GitHub, building and coding applications using Hadoop components - HDFS, Hive, Impala, Sqoop, Flume, Kafka, StreamSets, HBase, etc.
  • Minimum of 5 years of coding Scala / Spark, Spark Streaming, Java, Python, HiveQL
  • Minimum 5 years of understanding of traditional ETL tools & Data Warehousing architecture.
  • Strong personal leadership and collaborative skills, combined with comprehensive, practical experience and knowledge in end-to-end delivery of Big Data solutions.
  • Must be proficient in SQL/HiveQL and programming language (Java/Python)
Preferred Qualifications:
  • Deep understanding of techniques used in creating and serving schemas at the time of data consumption
  • Advanced Cloud data technologies in ML space (Vertex AI, BQ-ML etc)
  • Experience in AWS/Azure data platforms
  • Experience in data visualization tools such as Google Looker, Microstrategy
  • Past experience using Maven, Git, Jenkins, Se, Ansible or other CI tools is a plus
  • Experience in Exadata and other RDBMS is a plus.
  • Knowledge of predictive analytics techniques (e.g. predictive modeling, statistical programming, machine learning, data mining, data visualization).
  • Familiarity with different development methodologies (e.g. waterfall, agile, XP, scrum)
  • Strong inter-personal and communication skills including written, verbal, and technology illustrations.
  • Experience working with multiple clients and projects at a time.
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About CGI

CEO: George D. Schindler
Revenue: $10+ billion (USD)
Size: 10000+ Employees
Type: Company - Public
Website: www.cgi.com
Year Founded: 1976