Cloud Data Engineer
Position Description
In the Emerging Technologies Practice at CGI, our consultants and technologists apply their deep expertise and problem-solving skills to implement cutting-edge and industry best solutions. Currently, we have an exciting opportunity for a Cloud Data Engineer to join our team. Our Cloud Data Engineers work with cross-functional teams and stakeholders, are passionate about developing data driven applications or solutions and are always looking for new and more efficient ways to transform and retrieve information. In this role, you will collaborate with the team while individually contributing to project deliverables that meet our clients’ needs.
Candidates local to Austin, Dallas or Houston, Texas preferred. Team members should plan to be in a hybrid work environment.

Your future duties and responsibilities

• Collaborate with Teams: Engage in cross-functional teams to design, deploy, and manage microservice architectures for analytics, data pipelines, machine learning models, and essential business applications.
• Requirements Gathering: Interpret customer and business needs to construct resilient, cloud-native data infrastructures that cater to the end-users’ demands, leveraging expertise in data engineering & API development.
• Stakeholder Engagement: Maintain active engagement with client representatives and internal team members to adhere to project timelines, ensuring transparent and effective communication throughout the project lifecycles, and present demos & deliverables.
• Technical Documentation: Articulate and document technical designs and solutions in a clear and concise format, ensuring comprehensibility for all stakeholders.
• Interdisciplinary Collaboration: Work in close partnership with solution architects, senior data engineers, data analysts, and cloud engineering teams to align solutions with the overarching architectural vision and business objectives.

Required qualifications to be successful in this role

• Expertise in API Development: Proficiency in designing, implementing, and maintaining RESTful APIs. Proficiency in JavaScript: Strong knowledge of JavaScript and related frameworks for both front-end and back-end development.
• Microservices Architecture: Experience with designing and building scalable microservice architectures.
• Generative AI Knowledge: Understanding of generative AI technologies such as foundational RAG solutions, vector databases, Large Language Models, and open-source frameworks like Langchain
• Cloud Platforms: Familiarity with cloud services (AWS, Azure, GCP) and their data-related offerings.
• Database Management: Ability to work within various databases, both SQL and NoSQL, and knowledge of database optimization techniques.
• Data Pipeline Construction: Skills in building and maintaining robust data pipelines for large-scale data processing using languages like Python, PySpark, and SQL
• Streaming Data: Experience creating streaming pipelines using technologies such as Kafka, Azure Event Hub, AWS Kinesis, etc.
• Agile Methodology: Experience with agile development methodologies and tools for version control, such as Git, Jenkins, or Azure DevOps.
• Continuous Integration/Continuous Deployment (CI/CD): Experience with CI/CD pipelines for automated testing and deployment.
• Collaboration and Communication: Strong teamwork skills and the ability to communicate effectively with both technical and non-technical stakeholders.

Desired Qualifications:

• Exposure to Docker, Kubernetes, or similar technologies for containerization and orchestration.
• Knowledge of security best practices, including secure coding, encryption, and access control.
• Experience in creating dashboards and visulatons utilizing popular BI tools such as Tableau, Power BI, or Looker.

LI-SG2

Your future duties and responsibilities

• Collaborate with Teams: Engage in cross-functional teams to design, deploy, and manage microservice architectures for analytics, data pipelines, machine learning models, and essential business applications.
• Requirements Gathering: Interpret customer and business needs to construct resilient, cloud-native data infrastructures that cater to the end-users’ demands, leveraging expertise in data engineering & API development.
• Stakeholder Engagement: Maintain active engagement with client representatives and internal team members to adhere to project timelines, ensuring transparent and effective communication throughout the project lifecycles, and present demos & deliverables.
• Technical Documentation: Articulate and document technical designs and solutions in a clear and concise format, ensuring comprehensibility for all stakeholders.
• Interdisciplinary Collaboration: Work in close partnership with solution architects, senior data engineers, data analysts, and cloud engineering teams to align solutions with the overarching architectural vision and business objectives

Required qualifications to be successful in this role

• Expertise in API Development: Proficiency in designing, implementing, and maintaining RESTful APIs. Proficiency in JavaScript: Strong knowledge of JavaScript and related frameworks for both front-end and back-end development.
• Microservices Architecture: Experience with designing and building scalable microservice architectures.
• Generative AI Knowledge: Understanding of generative AI technologies such as foundational RAG solutions, vector databases, Large Language Models, and open-source frameworks like Langchain
• Cloud Platforms: Familiarity with cloud services (AWS, Azure, GCP) and their data-related offerings.
• Database Management: Ability to work within various databases, both SQL and NoSQL, and knowledge of database optimization techniques.
• Data Pipeline Construction: Skills in building and maintaining robust data pipelines for large-scale data processing using languages like Python, PySpark, and SQL
• Streaming Data: Experience creating streaming pipelines using technologies such as Kafka, Azure Event Hub, AWS Kinesis, etc.
• Agile Methodology: Experience with agile development methodologies and tools for version control, such as Git, Jenkins, or Azure DevOps.
• Continuous Integration/Continuous Deployment (CI/CD): Experience with CI/CD pipelines for automated testing and deployment.
• Collaboration and Communication: Strong teamwork skills and the ability to communicate effectively with both technical and non-technical stakeholders