Are you a Power BI and Data Engineering professional interested in working in a talented and collaborative team developing Cloud, Data and AI solutions for leading global clients?
Do you regularly find yourself in conversations on disparate and dispersed data sources and feel the need to create a robust data engineering infrastructure to sort that mess out?
If you have that technical expertise of building pipelines and enabling data engineering or ETL in organizations and then building Power BI dashboards, a genuine flair for solving problems, and the mindset to collaborate with diverse clients and team members alike, we're looking for you.
As a Power BI and Azure Developer / Data Engineer on this team your responsibilities will include :
- Strategically collaborating with the clients to explore data sources and build Power BI dashboards with Azure Data Engineering
- Apply experience in building strong Power BI Dashboards with DAX queries, Power Apps, Power Automate, and Logic Apps
- Delivering on areas of data preparation and transformations and ETL or ELT development on Azure - Azure Data Factory (ADF), Synapse et al
- Successfully implemented data projects with Microsoft Fabric.
- Building Data Engineering pipelines
- 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
- Supporting and collaborating with the other Data Engineers or Data Scientists in the team with technical knowledge
Essential Qualifications
- Minimum total 5-7 years experience is required to apply to this role
- 3 years or more in Power BI dashboards development
- Proficiency in Microsoft Fabric
- 3 years or more in Azure 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.) preferably Azure
- 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 ETL tools like Azure Data Factory, Google Dataflow, Qlik Compose, AWS Data Pipeline or Glue, Talend, Microsoft SSIS, IBM Datastage, Informatica
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 Engineers, Cloud DevOps professionals, Cloud Architects and other solutions experts.
Use of the term engineering’ in this job posting refers to the technical sense related to Information Technology (IT) and does not imply that the individual practices engineering or possesses the requisite license as prescribed by the applicable provincial or territorial engineering regulator.
We are seeking individuals with expertise in IT engineering-related functions, but licensure from an engineering regulator is not a prerequisite for this position.
Engineering is a regulated profession in Canada which is restricted in terms of use of titles and designation.
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