Développeur BI

Job summary

Design, develop, and maintain scalable ETL/ELT pipelines and lakehouse data workflows using AWS and Microsoft Fabric. Orchestrate and monitor processing, prepare data for analytics and AI use cases, and ensure solution quality, security, governance, and performance in collaboration with technical and business teams.

Job details

Developer BI – AWS and Microsoft Fabric with AI knowledge We are looking for a developer capable of designing and implementing data solutions on AWS and Microsoft Fabric. The successful candidate will help build reliable and scalable data pipelines, from data ingestion through to making data available for analysis and AI use cases. Your future duties and responsibilities Design, develop and maintain ETL/ELT data pipelines. Implement lakehouse architectures and data processing workflows on AWS and Microsoft Fabric. Orchestrate processing, manage dependencies and monitor pipeline execution. Prepare data for analytics, machine learning and generative AI projects. Ensure the quality, security, governance and performance of solutions. Collaborate with data, analytics, AI and business teams. Required Skills Required qualifications to be successful in this role Practical experience with AWS and Microsoft Fabric. Proficiency in data pipelines and ETL/ELT processes. Good knowledge of SQL and Python; experience with Spark would be an advantage. Knowledge of AWS data services, such as S3, Glue, Lambda or Redshift, and Microsoft Fabric components, such as OneLake, Data Factory and Lakehouse. Experience in data preparation and integration for AI or machine learning solutions. Knowledge of version control, deployment and pipeline monitoring practices. 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. At CGI, we value the strength that diversity brings and are committed to fostering a workplace where everyone belongs. We collaborate with our clients to build more inclusive communities and empower all CGI partners to thrive. As an equal-opportunity employer, being able to perform your best during the recruitment process is important to us. If you require an accommodation, please inform your recruiter. 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. To learn more about accessibility at CGI, contact us via email. Please note that this email is strictly for accessibility requests and cannot be used for application status inquiries. Come join our team—one of the largest IT and business consulting services firms in the world.

What you’ll do

Design, develop, and maintain scalable ETL/ELT pipelines and lakehouse data workflows using AWS and Microsoft Fabric. Orchestrate and monitor processing, prepare data for analytics and AI use cases, and ensure solution quality, security, governance, and performance in collaboration with technical and business teams.

Requirements

Candidates should have practical experience with AWS and Microsoft Fabric, strong knowledge of data pipelines and ETL/ELT, and proficiency in SQL and Python; Spark experience is an advantage. They should also know relevant AWS and Fabric services, data integration for AI or machine learning, and version control, deployment, and pipeline monitoring practices.

Listed skills

• Amazon Web Services · Preferred
• SQL · Preferred
• Python · Preferred
• Machine learning · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• AWS
• Microsoft Fabric
• Data Pipelines
• ETL/ELT
• SQL
• Python
• Spark
• Data Engineering
• Lakehouse Architecture
• Data Orchestration
• Data Integration
• Data Preparation
• Machine Learning
• Generative AI
• Data Governance
• Pipeline Monitoring

Job areas

• Data & Analytics
• Technology
• Software
• Consulting

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