Data Engineer

CGI
31 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English

Job location

Tech stack

API
Amazon Web Services (AWS)
Software Quality
Computer Programming
Databases
Continuous Integration
Data Security
Github
Python
Software Engineering
SQL Databases
Delivery Pipeline
Spark
GIT
PySpark
Deployment Automation
Jenkins

Requirements

Join to apply for the Data Engineer role at CGI. We are seeking a highly skilled and motivated data engineer to support our R&D IT partners by extracting and matching bio-sample identifiers with other internal datasets. These efforts will enhance research activities and contribute to the utility of our newly developed GenAI capability. The successful candidate will have a strong technical background in data modelling, data forensics, databases, Python, APIs, testing, Git, and CI/CD pipelines. Your future duties and responsibilities * Apply excellent abstraction and analytical capabilities to perform data transformations and enable the connection of datasets, thinking outside the box as needed. * Extract data from existing internal sources. * Extract identifiers from existing platforms. * Build data model to link regulated and sensitive data. * Collaborate with cross-functional teams, including data scientists, engineers, and IT, to ensure seamless integration of systems. * Develop and maintain the code following best code and engineering practices. * Automate deployment processes to ensure rapid and reliable delivery of project environments. * Troubleshoot and resolve issues related to data access, API integrations, and migration. * Document processes, workflows, and technical guidelines to support knowledge transfer. Required Qualifications To Be Successful In This Role * Proven experience in data modelling and databases. * Strong programming skills in Python, with a focus on data science or software engineering and code quality standards. * Strong SQL, Spark, and PySpark with a focus on interrogating and deploying data models. * Hands-on experience with CI/CD tools and pipelines (e.g., Jenkins and GitHub Actions). * Expertise in automated deployment and reproducible workflows. * Familiarity with cloud platforms (e.g., AWS) and their integration with data science tools. Together, as owners, let's turn meaningful insights into action. Life at CGI is rooted

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