Senior
You will be responsible for building and maintaining the Azure Data Plataform that provides capabilities in the area of data management such as ingestion, transformation, centralized data storage, data quality, and data provisioning for analytics and BI within our Clients teams.
Providing well documented platform with attention to detail.
Build out Data Lake ingestion and staging of corporate data sources for Analytics purposes using Azure Data Factory.
Design and implement Data Lake lifecycle processes that support effective data provisioning capabilities to feed analytical requirements
Implement ETL routines using Azure Data Factory to load transformed data into the Data Warehouse.
Work closely with Power BI report creators empowering them to map reports to standardized data models that are under pinned by the Data Warehouse solution.
Diagnose, fix, improve, and automate complex issues across the entire stack to ensure maximum uptime and performance
Collaborate across the team on proper use/integration of our platform
Conduct knowledge transfer sessions with team members
5+ years experience in business data warehouse / data lake and analytics/BI architectures, including the design and development across multiple technologies and analytical platforms
Deep understanding of data processes, data modelling, data pipelines (ETL), data lifecycle etc
Ability to develop ETL/ELT pipelines for processing and handling large amount of data and monitor the performance of the pipeline and other cloud services
Ability to develop BI data models and create BI reports
Experience in delivering analytics development within a DevOps environment with excellence shown in backlog planning, building, testing and delivery
Solid knowledge of Azure analytic components such as Data Lake, Azure Data Factory, Databricks, Azure SQL, Azure SQL Data Warehouse, Azure Analysis Services and Power BI Services
Knowledge of data visualization best practices
Excellent communication skills and ability to work under continual deadline constraints are necessary
Fluent in written and spoken English
#LI-AF7
Azure
Data Engineering
Data Engineering
Data Modeling
Data Pipelines
Data Visualisation
Data Visualisation
Data Warehousing
Databricks
PowerBuilder
Together, as owners, let’s turn meaningful insights into action.
Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you’ll reach your full potential because…
You are invited to be an owner from day 1 as we work together to bring our Dream to life. That’s why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company’s strategy and direction.
Your work creates value. You’ll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise.
You’ll shape your career by joining a company built to grow and last. You’ll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons.
That same commitment to fairness extends to how we use technology. To support our recruitment team, AI tools may be used to help assess applications though they never replace human judgement. All hiring decisions remain entirely in the hands of our recruitment professionals.
Come join our team—one of the largest IT and business consulting services firms in the world.
Sign up to apply and find out right away if you're a fit.
Your agent will tell you — in seconds.
Sign up and I'll tell you right away how well CGI matches you — what you already have, and what's missing. Then I stay on it: I search for you and only write when I find something worth your time.