Data Engineering Analyst

Here's a brief overview of the tasks and responsibilities you'll have:

• Master Terraform to automate the provisioning of Snowflake and AWS accounts and resources;
• Develop and configure a multi-account Snowflake infrastructure including data sharing mechanisms;
• Implement and configure Snowflake's native business intelligence features according to design specifications;
• Design aggregated exposure views without personal information and validation mechanisms before sharing;
• Implement the analytical account RBAC model, including functional roles, access profiles and integration with identity management solutions;
• Configure network security controls and access policies;
• Maintain infrastructure as code covering accounts, roles, network policies, data warehouses, and monitoring mechanisms;
• Develop validation and audit pipelines for residual personal information detection, usage tracking, and consumption alerts;
• Collaborate with architectural and security stakeholders on the design of technical solutions;
• Perform code reviews, optimize performance, and support releases;
• Document configurations, deployment processes, and operational procedures;
• Actively participate in the team's Agile activities.

Qualifications

• Have a minimum of five (5) years of experience in data engineering within a large organization;
• Possess a minimum of two (2) years of significant experience with Snowflake in administration or development;
• Have a SnowPro Core or Advanced certification, or commit to obtaining it within the first six months;
• Have a bachelor's degree in computer science, software engineering, computer engineering, or a related field;
• Proficient in multi-account Snowflake administration, data sharing, advanced RBAC, network policies, and consumption monitoring mechanisms;
• Be familiar with Snowflake security mechanisms, including per-row access policies, dynamic data masking, aggregation policies, and object labeling;
• Demonstrate experience with Snowflake Cortex (Analyst, Search or Intelligence) or a strong ability to adopt native AI features;
• Master advanced SQL, including views, stored procedures, streams, tasks, and complex aggregations;
• Experience with AWS, including IAM, VPC, PrivateLink, and CloudWatch in a Snowflake context;
• Understand secure network architectures, including segmentation, PrivateLink, and DNS;
• Develop automation solutions using Python;
• Use DevOps tools such as GitHub, GitHub Actions, Vault, and CI/CD pipelines;
• Apply data governance principles, including data classification, cataloging, and lineage;
• Demonstrate a good understanding of automated testing, application security, and CI/CD practices;
• Work effectively in an Agile framework such as SAFe, Scrum, or Kanban;
• Adopt strong coding, documentation, code review, and quality assurance practices;
• Knowledge of dbt for SQL transformations and template management (an asset);
• Proficiency in Snowflake Organizations multi-account management concepts (an asset);
• Use self-service analytics tools such as Power BI or Tableau integrated with Snowflake (an asset);
• Understand the FinOps principles related to Snowflake cost optimization (an asset);
• Knowledge of data testing frameworks (an asset);
• Experience in a regulated environment, including banking, insurance, or government (an asset);
• Demonstrate rigor, autonomy, a strong collaborative spirit and an approach focused on safety, quality and complex problem solving.