RQ10023 Business Intelligence Specialist Senior

Maarut Inc

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profile Job Location:

Toronto - Canada

profile Monthly Salary: CAD 101 - 101
profile Experience Required: 10years
Posted on: 2 hours ago
Vacancies: 1 Vacancy

Job Summary

Scope


  • The Office of the Public Guardian and Trustee (OPGT) requires a Senior Software Developer to help build a new data warehouse/lakehouse and deliver the reporting MVP (minimum viable product).


Assignment Deliverables


As a member of the data team you will be responsible to help define the MVP for reporting build the new data warehouse/lakehouse and deliver the required reporting. A high-level list of deliverables for the data migration team follows:

  • Data Warehouse Design: analyze business requirements and design an efficient data warehouse/lakehouse/golden layer on Microsoft Azure
  • Data Integration and ETL: help develop and automate ETL processes to load data from Dynamics 365 CE and F&O into the new data warehouse/lakehouse (bronze/silver/golden layers). Help integrate data from diverse sources into the new data warehouse.
  • Data Modeling: create logical and physical data models that align with the projects reporting and analytical needs.
  • Data Security and Governance: implement appropriate security controls to protect sensitive data within the data warehouse.
  • Reporting and Visualization: develop reports dashboards and visualizations as per reporting MVP. Ensure the quality accuracy and integrity of reports.
  • Performance Optimization: fine-tune the data warehouse and reporting processes to optimize query performance and overall system efficiency.
    Other duties as assigned.


The Vendors Personnel will also be required to:

  • Complete work and achieve milestones within the assigned deadlines.
  • Notify the Cluster/Ministry project Manager in writing of any issues or other material concerns related to the Assignment Deliverables as soon as he/she becomes aware of them
  • Submit Deliverables for the Cluster/Ministry approval as they are completed.
  • Comply with the Ontario Government and the Cluster/Ministry security procedures and practices
  • Comply with the Ontario Government and the Cluster/Ministry architecture/technology standards and best practices
  • Comply with the Ontario Government and the Cluster/Ministry Conflict of Interest and Confidentiality Guidelines
  • Provide knowledge and skill transfer to a designated Cluster/Ministry staff; and
  • Comply with the Ontario Government I&IT Directive Operational Policy on the I&IT Project Gateway Process and other applicable Guidelines Standards and Procedures.


Requirements

Experience and Skillset Requirements


Mandatory Requirement

  • Power BI: Proficiency in Power BI including data modeling creating interactive reports and dashboards and utilizing advanced features.
  • Demonstrated experience with data analytics and reporting from Dynamics 365 CE and/or F&O.
  • Data Warehouse/Lakehouse Concepts: Strong understanding of data warehousing principles including data modeling ETL processes data integration and data governance.


Nice to Have Requirements

  • Azure cloud certifications (e.g. Azure fundamentals Azure Power BI Data Analyst Associate)
  • Experience with PowerApps platform Power Automate Dynamics CE and F&O


Desired Skills and Experience


  • Data Warehouse/Lakehouse Concepts: Strong understanding of data warehousing principles including data modeling ETL processes data integration and data governance.
  • Power BI: Proficiency in Power BI including data modeling creating interactive reports and dashboards configuring data gateways and utilizing advanced features such as DAX and Power Query.
  • Knowledge of technologies commonly used with Dynamics 365 such as DataVerse / Common Data Service (CDS) Data Entities and APIs.
  • SQL and Query Optimization: Strong SQL skills for writing complex queries optimizing database performance and troubleshooting query performance issues. Understanding of indexing partitioning and query execution plans.
  • Data Modeling and Design: Proficiency in designing logical and physical data models understanding relationships defining hierarchies and ensuring efficient data storage and retrieval.
  • Data Visualization: Ability to create visually appealing and informative reports and dashboards using Power BI understanding best practices for data visualization and storytelling with data.
  • Data Security and Governance: Knowledge of data security principles data governance practices data quality management and data lifecycle management.
  • Analytical and Problem-Solving Skills: Strong analytical thinking and problem-solving abilities to identify business requirements analyze data and provide meaningful insights to stakeholders.
  • Communication and Collaboration: Effective communication skills to interact with stakeholders gather requirements and present findings. Collaboration skills to work with cross-functional teams such as data engineers data analysts and business stakeholders.
  • Familiarity with version control systems (e.g. Azure Repos) and collaboration tools (e.g. Azure DevOps) for managing code tracking changes and collaborating with team members.
  • Experience with SQL Server Management Studio Azure data management tools data modeling tools
  • Experience with SSIS SSRS


resumes Evaluation/Criteria:


Criteria 1: Data Warehouse - 25 Points


  • Demonstrated experience developing reports in a Data Warehouse/ Lakehouse. Experience with supporting a data warehouse in a production environment
  • Demonstrated experience working with Azure Synapse workspaces including knowledge of pipeline creation data flows integration runtimes triggers and monitoring.
  • Demonstrated experience with data warehousing modelling concepts such as star and snowflake schemas and data modelling tools.


Criteria 2: PowerBI - 25 Points


  • Demonstrated experience working Power BI creating interactive reports and dashboards configuring data gateways utilizing advanced features such as DAX and Power Query.


Criteria 3: SQL / DB - 20 Points


  • Demonstrated experience with data manipulation languages (T-SQL PL/SQL) data definition languages query performance analysis & tuning
  • Demonstrated experience with SQL Server Oracle Azure SQL Databases
  • Experience with SSIS SSRS


Criteria 4: Dynamics 365 - 20 Points


  • Strong understanding of the Dynamics 365 data model entities and relationships.
  • Experience developing reports from source data from Dynamics 365 CE or F&O.
  • Familiarity with Dataverse and Power Platform application development.


Criteria 5: Azure Platform - 10 Points


  • Experience with Azure Data Factory (ADF) and Synapse Workspaces
  • Demonstrated experience Azure data management tools DevOps
  • Azure cloud certifications


Knowledge Transfer


What needs to be KT

  • Document the tasks executed and in process of execution as a member of the data migration team using the approach and tools required by the project manager.


To whom

  • Project Manager / Team members

Must Haves:

  • Power BI: Proficiency in Power BI including data modeling creating interactive reports and dashboards and utilizing advanced features.
  • Demonstrated experience with data analytics and reporting from Dynamics 365 CE and/or F&O.
  • Data Warehouse/Lakehouse Concepts: Strong understanding of data warehousing principles including data modeling ETL processes data integration and data governance.


Nice To have:

  • Azure cloud certifications (e.g. Azure fundamentals Azure Power BI Data Analyst Associate)
  • Experience with PowerApps platform Power Automate Dynamics CE and F&O


ScopeThe Office of the Public Guardian and Trustee (OPGT) requires a Senior Software Developer to help build a new data warehouse/lakehouse and deliver the reporting MVP (minimum viable product). Assignment DeliverablesAs a member of the data team you will be responsible to help define the MVP for r...
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Company Industry

IT Services and IT Consulting

Key Skills

  • Business Intelligence
  • Cognos
  • SQL
  • Power BI
  • QlikView
  • Data Visualization
  • ssrs
  • Tableau
  • SSIS
  • Data Modeling
  • Data Warehouse
  • Data Analysis Skills