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Data Engineering Advisor

AdientOne LLCMontreal, QC🇺🇸United States

Quick overview

SeniorityMid Senior
Work modeHybrid
LocationMontreal, QC, United States
Stakeholder ManagementMicrosoft ExcelMicrosoft PowerPointGitETLMLOpsNLPSplunkBashBusiness AnalysisERPConfluenceGitHub ActionsPowerShellProcurementPythonSales OperationsTerraformGenerative AIRESTAzureJiraPrompt EngineeringCI/CDAzure DevOpsAzure Data Factory

Job description

DUTIES AND RESPONSIBILITES:
• Responsible for elicitation, analysis, and documentation of business requirements.
• Research and exploration of user requirements, costs, and benefits in support of documentation required for the demand management process.
• Responsible for analyzing the business needs to identify new processes and process improvements that will meet those needs.
• Documents current business processes and models to define requirements and/or gaps.
• Analyze detailed system factors including input/output requirements, information and paper flow, hardware, and software needs.
• Analyze “soft" system factors including roles, responsibilities, policy, culture, etc.
• Evaluate the impact of potential software and process changes on the organization.
• Develop and facilitate groups as necessary in pursuit of eliciting and defining requirements.
• Assist in the creation of the business case documentation.
• Understanding of architectural consistency and usability standards.
• Defines and develops user test cases and validates test results during testing.
• Executes unit and functional test cases.
• May conduct system demonstrations and training sessions, as well as participate in design/review of training content.
• Plays a third level support role by helping to troubleshoot and resolve issues with production systems.
• Participates in associate meetings and communicates any concerns to management.
QUALIFICATIONS AND REQUIREMENTS:
• Bachelor’s degree in computer science, Information Systems, Business, or another related field or equivalent work experience.
• Proven experience leading data migration requirements from legacy systems into a new ERP (Sage X3) environment
• Strong hands-on expertise in requirements elicitation, documentation, and management, with emphasis on data mapping, transformation rules, and validation
• Deep understanding of data structures, data quality, and migration best practices, with the ability to identify gaps and risks early
• Self-driven and accountable professional with strong stakeholder management and communication skills, able to drive outcomes with minimal oversight
• Working knowledge of Confluence and JIRA.
• Experience in any of the following business areas is desired: Sales operations, order entry, accounting, finance, procurement, warehouse operations, order management, and order fulfillment.
• Minimum of 3-5 years’ business analysis or systems analysis experience is preferred.
• Bonus: Sage X3 experience (ERP).
Associate is expected to operate at a proficient level across the following areas of technical knowledge and skill:
• Ability to organize and prioritize work.
• Detail oriented, proactive, creative, and efficient
• Intermediate level abilities in Excel, Outlook, PowerPoint, Visio, and Word
• Familiarity with application integration methods to include understanding of data mapping process.
• Ability to effectively work both independently and collaboratively in a team environment
• Ability to work on simultaneous and complex projects, with domain expertise in at least one business area.
• Expertise in ERP solution selection and implementation is a plus
• Ability to communicate effectively to both technical and non-technical audiences in written and non-written format
• Ability to work with all levels of associates
• Ability to work with minimal supervision in a very dynamic environment
• Ability to learn new systems and tools
• Knowledge of software development life cycle methodologies, processes, and procedures.
• Active listener
• Effective in a variety of formal/informal presentation settings: one-on-one, small, and large groups.

Job Title: Data Engineering Advisor

Location: Montreal, QC

Duration: 12 Months

The data engineering consultant contributes to the development of solutions for collecting, integrating, consolidating, cleaning, storing, and processing data streams. They participate in the development, maintenance, support, and operation of IT applications and data pipelines, performing functional analysis, technical design, coding, debugging, and program documentation.

Responsibilities:

  • Gather the analytical needs expressed by users
  • Designing and building data collection systems and platforms for a variety of projects
  • Develop data pipelines, integrate, transform, and consolidate data from different systems into context-appropriate structures.
  • Perform data mapping specification and documentation
  • Implement, monitor, maintain and optimize diverse systems that meet business needs
  • Use various scripting languages and tools to enable the storage and production of complex datasets
  • Developing algorithms, prototypes, and proof-of-concept demonstrations within complex projects
  • Identify opportunities to optimize systems based on trends and behaviors and recommend improvements to data management services

Requirements and qualifications

  • Azure Cloud & Services: AI/ML Services, Azure Functions, Azure Data Lake, Azure API Management
  • NLP & Generative AI: OpenAI, fine-tuning, prompt engineering, model integration
  • DevOps & CI/CD: Azure DevOps/GitHub Actions
  • Infrastructure as Code (IaC): Terraform, Provider Azure RM, Terraform Test Framework
  • MLOps & LLMOps Deployment: MLOps, LLMOps (integration and industrialization of models)
  • ETL/ELT & data integration: Azure Data Factory, Medallion architecture (Bronze/Silver/Gold)
  • Monitoring & Observability: Azure Monitor, Azure Log Analytics, Splunk, Dynatrace
  • Security & Access: Azure KeyVault (secrets management), Entra ID, Azure AD,
  • Resilience & Disaster Recovery: RTO, RPO, replication, failover and fallback concepts
  • API: Design and deployment of REST APIs
  • Programming languages: Python, R
  • Scripting & Automation: PowerShell, Bash
  • Having a good knowledge of the sector
  • Demonstrate strategic thinking
  • Mastering interpersonal relationships

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