Data Engineering Specialist

Key Skills

Apache Airflow, AWS, Azure, Big Data Technology, Data Analysis, Data Engineering, Data pipelines, Data science techniques, Effective communication skills, Google Cloud Platform (GCP), Google Dataflow, Jenkins, Machine learning techniques, Python Programming, SQL

Job Description

The ET (Emerging Technologies) team in Global Technology and Operations (GTO) Canada at CGI is a trusted Data, Cloud and Advanced Analytics advisor and go-to implementation partner for our global clients data needs. We're an entrepreneurial team that is on a continuous mission to position CGI as the best-in-class Cloud and Data partner and develop new and exciting opportunities in latest technologies. In our endeavor to provide end-to-end Cloud and Machine Learning capabilities, we start with learning about the clients` business and data landscape, assess possible opportunities, help shortlist and turn those opportunities into action, and then scale it across the organization unlocking a larger impact for clients and their consumers. For this, we depend on a talented and motivated team of Data Scientists, Data Engineering specialist, Cloud DevOps professionals, Cloud Architects and other solutions experts.

Your future duties and responsibilities:

As a Data Engineering specialist on this team your responsibilities will include:

• Strategically collaborating with the clients to explore and deliver key foundational data engineering solutions
• Delivering on areas of data preparation and transformations and ETL or ELT development both on-prem or on-cloud
• Building Data Engineering pipelines on cloud (Azure, AWS, GCP and others)
• Working in a business environment with large-scale, complex and big data datasets and dispersed data sources
• Using SQL or Advanced SQL and Python skills as necessary
• Gathering client requirements, coding and implementing data solutions
• Implementing proof of concepts to show value and then package and scale to full data engineering scale on both on-prem and cloud environments
• Supporting and collaborating with the other Data Engineers or Data Scientists in the team with technical knowledge

Required qualifications to be successful in this role:

• 4 years or more hands-on working experience in data engineering (can include traditional ETL and modern Cloud Data Engineering)
• Data analysis, storage, data pipelines, and orchestration
• Expert Python and SQL skills
• Experience working on at least one modern cloud platform (Azure, AWS, GCP etc.)
• Experience working on Big Data
• Strong Data Wrangling skills
• Bachelors or Masters degree
• Excellent communication and team working skills

Nice to Have Qualifications

• Experience in data engineering with ML projects
• Experience with data pipeline and workflow management tools eg. Airflow, Jenkins etc.
• Experience in a variety of tools like Azure Data Factory, Google Dataflow, Qlik Compose, AWS Data Pipeline or Glue, Talend, Microsoft SSIS, IBM Datastage, Informatica
• Bilingualism (English/French) is an asset

Skills:

• English

What you can expect from us:

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.