Data Engineering

- Design, develop, and maintain scalable data pipelines to ingest, transform, and store large volumes of data both on-premises (SSIS etc.) and in the cloud (Azure, AWS, GCP)
- Ensure data integrity, accuracy, and availability for analytical and operational use.
- Collaborate with software engineers, data scientists, and business stakeholders to understand data requirements and implement solutions.
- Optimize and improve existing data workflows and ETL processes.
- Implement data governance and security best practices.
- Manage data storage solutions, such as data lakes and data warehouses.
- A successful history of manipulating, processing and extracting value from large, disconnected datasets.
- Deploy data solutions in the cloud and with database tools (SQL, NoSQL).

Data Analytics

- Perform exploratory data analysis to identify trends, patterns, and insights.
- Develop and maintain reports, dashboards, and visualizations using BI tools (e.g., Power BI, SaaS VA).
- Conduct statistical analysis and modeling to support business strategies.
- Communicate findings and recommendations to stakeholders in a transparent and concise manner.
- Use SQL and other query languages to extract and manipulate data from various sources.
- Create plans and strategies to integrate data models and improve service delivery.
- Develop and share service metrics and performance dashboards.




- Facilitate the frequent delivery of services and deliverables to ensure the successful creation of the target state while mentoring Agile Teams to grow their analytics fluency.
- Support corporate priorities with data-driven evidence using analytics, visualizations, and data modeling.

Two (2) project examples must be provided for each proposed resource, which exemplify/demonstrate the proposed resource's expertise in the selected service area. Project examples need to be added to the bottom of the resume. Questions 1 through 5 must be answered for each project example.

The Evaluation

Team must be able to determine which project any given answer relates to. Where the answer to a Question is the same for both projects, this must be clearly stated.

- Provide an overview of the project/assignment the proposed resource or the proposed resource's team was engaged in that demonstrates expertise in the selected service area and role.
- Describe the sector(s) (i.e. public, private or other) the project/assignment served.
- Identify the project/assignment size in dollar value (i.e. less than $100,000, less than $500,000, less than $1,000,000 or greater than $1,000,000).
- Describe the approach for the design, development, mitigation of risk and delivery of the project/assignment, including any special considerations with respect to methodology or processes. In providing a response consider quality assurance and communication across the cross functional team.
- Provide a list of specific skills, tools and/or technology used within the project/assignment.

📌 GOAPR580 Data Analyst (Canada)
🏢 Omega solutions
📍 Canada