Software Developer - Data Platform

# Software Developer – Data PlatformMontrealHybridCloud and InfrastructureApplyWith over 30 years of recognized expertise, COFOMO is now a leading Canadian consulting firm specializing in digital and artificial intelligence. Supported by more than 3,000 experts, 10 Centers of Excellence, and 4 offices across the country, we are uniquely positioned to successfully guide our clients through their transformations. Both strategic and tactical, we help organizations across a wide range of industries thrive in today’s rapidly evolving world.## Our promiseHelp our clients succeed and maximize the impact of their transformation initiatives, turning them into powerful drivers of growth and innovation.## Job description**Here's a brief overview of the tasks and responsibilities you'll have :*** Develop, deploy, and maintain cloud infrastructure code, primarily on GCP, using Terraform;
* Participate in the integration, transformation and exploitation of data as part of proofs of concept in analytics and artificial intelligence, including Power BI, machine learning and data science;
* Contribute to the establishment and optimization of continuous integration and continuous deployment (CI/CD) pipelines with GitHub;
* Ensure the security ofIT flows and solutions by applying rigorous governance and data protection principles;
* Assist developers in implementing applications and data pipelines that support advanced analytics, including presenting recommended design patterns, answering technical questions, and sharing best practices;
* Produce technical documentation as well as unit and data quality tests to ensure the reliability and robustness of the solutions delivered;
* Collaborate with the Product Owner and Solution Architecture Consultant to design and evolve technology architectures.
**The profile you are looking for is as follows:**
* 5-10 years of experience in data and application solution development;
* Possess the ability towork in a multi-cloud environment and contribute to the delivery of flexible and scalable architectures;
* Master issues related to security, networking and data protection;
* Experience in platformdeployment and containerization with Terraform, as a priority, as well as Kubernetes (K8s/GKE), Docker and Helm;
* Have expertise in dataload management engines in GCP, Azure and AWS cloud environments as well as an interest in learning GCP, BigQuery, Composer and DataProc;
* Experience in deploying and configuring identity and access management (IAM/CIAM) solutions for different types of users;
* Master the deployment of networking and security configurations, including landing zones, firewalls, virtual networks (VNets), DNS, DDoS protection, and OSI model;
* Knowledge of concepts related to business intelligence, big data and semantic layers, including Power BI;
* Have expertise in developing data pipelines with Spark, PySpark, SQL, YAML and the Parquet format;
* Master the principles and practices related to Agile/SAFe methodologies, peer review, quality assurance, continuous delivery, and DevOps integration;
* Demonstrate the ability to intervene on cloud infrastructure, data pipelines, security, networking, and DevOps practices;
* Demonstrate autonomy, a collaborative spirit and an excellent ability to work with multiple teams;
* Demonstrate excellent communication and popularization skills with various collaborators;
* Experience in data modeling and metadata management (an asset);
* Knowledge of concepts related to artificial intelligence, including MCP and machine learning (an asset);
* Experience in data governance, data quality, and compliance management is an asset.#J-18808-Ljbffr