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CoFoMo Inc.
Data Engineering AnalystCoFoMo Inc. • Montreal (administrative region), QC, Canada
Data Engineering Analyst

Data Engineering Analyst

CoFoMo Inc. • Montreal (administrative region), QC, Canada
10 days ago
Job type
  • Full-time
Job description

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.
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Data Engineering Analyst • Montreal (administrative region), QC, Canada

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