Business Intelligence Specialist

Assignment: RQ00812 - Business Intelligence Specialist - Oracle - Senior

Requisition: RQ00812

Job Title: Business Intelligence Specialist - Oracle - Senior for OCRE Development Project

Client: Ontario Health

Start Date: 2026-11-23

End Date: 2027-05-20

Department: Digital Excellence in Health

Office Location: 525 University Avenue, Toronto

Business Days: 124.00

Location: Onsite as needed basis

Public Sector Experience: must have

Must Haves:

• Oracle, Python, AWS Glue Python Shell, and AWS DMS experience, including complex SQL, source-data analysis, extraction, transformation, incremental loading, validation, reconciliation, and production support.
• Amazon Redshift and dimensional-modelling experience, including staging layers, fact and dimension structures, star schemas, views or materialized views, SQL optimization, and reporting-layer performance tuning.
• Power BI development experience, including semantic modelling, DAX, Power Query, dashboards, operational metrics, data-quality reporting, refresh processes, security, and performance optimization.
• Healthcare-data experience involving the Ontario HRM Standard, FHIR data structures, and HL7 v2 data structures, including mapping source data to consistent analytical definitions and metrics.

Description

• The Agency requires a Senior Business Intelligence Specialist with strong Oracle experience to support the Ontario Clinical Report Exchange (OCRE) project. The resource will develop the data integration and reporting capabilities needed to extract information from Oracle and OCRE application sources, load it into Amazon Redshift, and make reliable operational and business information available to OCRE stakeholders. The role will build AWS Glue Python Shell jobs and supporting SQL to extract, transform, validate, and load data into Amazon Redshift, while using AWS Database Migration Service (AWS DMS) where replication or change-data-capture capabilities are required. In Redshift, the resource will design a star-schema reporting layer with fact and dimension structures, views, or materialized views appropriate to the reporting workload. The resource will then develop Power BI semantic models, reports, and dashboards for operational metrics, data-quality monitoring, and other reporting needs defined by OCRE business stakeholders. The work requires an understanding of the Ontario HRM Standard, FHIR data structures, and HL7 v2 data structures so that clinical and operational data is interpreted and modelled correctly.

Required Experience:

• Senior-level Oracle experience, including complex SQL, PL/SQL, data extraction, performance tuning, data profiling, and analysis of production data structures.
• Hands-on experience developing AWS Glue Python Shell jobs and Python-based ETL processes that extract, transform, validate, and load data into Amazon Redshift.
• Strong experience with Amazon Redshift, AWS DMS, dimensional modelling, star schemas, incremental data loads, reconciliation, and data-quality controls.
• Strong Power BI experience, including semantic models, DAX measures, Power Query, report design, dashboard development, refresh processes, and performance optimization.
• Practical experience interpreting the Ontario HRM Standard, FHIR data structures, and HL7 v2 data structures for healthcare reporting and analytics.

Responsibilities:

• Work with OCRE business and technical stakeholders to define reporting requirements, business measures, data-quality indicators, acceptance criteria, and dashboard priorities.
• Analyze Oracle schemas and OCRE application data sources to identify authoritative fields, relationships, business rules, data limitations, and extraction requirements.
• Develop, test, and support AWS Glue Python Shell jobs that extract data from Oracle and OCRE application sources and load it into Amazon Redshift.
• Configure or support AWS DMS replication and change-data-capture processes where they are used to move Oracle or application data into the reporting platform.
• Implement full and incremental load patterns, transformations, validation rules, error handling, logging, reconciliation, restartability, and operational monitoring for data pipelines.
• Design and maintain the Amazon Redshift reporting model, including staging structures, fact and dimension structures, keys, history handling, and star-schema relationships.
• Create and optimize Redshift SQL views, materialized views, stored procedures, and queries that expose governed reporting datasets to Power BI.
• Develop Power BI semantic models, DAX measures, Power Query transformations, reports, and dashboards for OCRE metrics, operational performance, and data quality.
• Translate Ontario HRM, FHIR, and HL7 v2 data elements into consistent analytical definitions while preserving clinical meaning, traceability, and source-system context.
• Profile source and target data, identify anomalies or gaps, implement data-quality rules, and reconcile dashboard results to Oracle and OCRE source data.
• Tune Oracle queries, AWS Glue jobs, Redshift workloads, and Power BI models to meet agreed performance, refresh, scalability, and support requirements.
• Prepare technical designs, source-to-target mappings, dimensional models, metric definitions, test evidence, deployment instructions, runbooks, and knowledge-transfer materials.

Desired Skills:

• Experience designing dimensional models using fact tables, dimension tables, conformed dimensions, surrogate keys, slowly changing dimensions, and auditable metric definitions.
• Experience with Redshift performance features such as distribution styles, sort keys, workload management, query plans, materialized views, and columnar data design.
• Experience with Power BI row-level security, deployment pipelines, scheduled refresh, gateways, workspace governance, usage monitoring, and accessibility practices.
• Experience supporting healthcare analytics solutions that require data lineage, privacy-aware access, auditability, reconciliation, production monitoring, and incident investigation.

Required Skills:

• Oracle, Python, AWS Glue Python Shell, and AWS DMS experience, including complex SQL, source-data analysis, extraction, transformation, incremental loading, validation, reconciliation, and production support.
• Amazon Redshift and dimensional-modelling experience, including staging layers, fact and dimension structures, star schemas, views or materialized views, SQL optimization, and reporting-layer performance tuning.
• Power BI development experience, including semantic modelling, DAX, Power Query, dashboards, operational metrics, data-quality reporting, refresh processes, security, and performance optimization.
• Healthcare-data experience involving the Ontario HRM Standard, FHIR data structures, and HL7 v2 data structures, including mapping source data to consistent analytical definitions and metrics.

Rated Criteria: 100 Points

• Oracle, Python, AWS Glue Python Shell, and AWS DMS experience, including source analysis, complex SQL, ETL development, incremental loading, validation, reconciliation, and production support. 25 points
• Amazon Redshift and dimensional-modelling experience, including staging structures, fact and dimension models, star schemas, views or materialized views, SQL optimization, and workload performance. 25 points
• Power BI experience, including semantic models, DAX, Power Query, dashboards, operational metrics, data-quality reporting, refresh, security, and performance optimization. 25 points
• Ontario HRM Standard, FHIR, and HL7 v2 data-structure experience, including healthcare-data mapping, metric definition, traceability, and interpretation of clinical and operational data. 25 points

Deliverables

• Production-ready AWS Glue Python Shell jobs and supporting Python or SQL components that extract data from Oracle and OCRE application sources and load it into Amazon Redshift.
• AWS DMS configurations, mappings, validation results, and operational documentation for replication or change-data-capture workflows assigned to the resource.
• Amazon Redshift staging, ingestion, transformation, and reconciliation components supporting full and incremental data loads.
• A governed Redshift star-schema reporting layer containing the required fact and dimension structures, relationships, history handling, and business definitions.
• Optimized Redshift views, materialized views, stored procedures, and queries that provide Power BI with reliable and supportable reporting datasets.
• Power BI semantic models, DAX measures, Power Query transformations, reports, and dashboards for OCRE metrics, operational monitoring, data quality, and stakeholder-defined reporting needs.
• Documented metric definitions, source-to-target mappings, data-quality rules, validation controls, lineage, and reconciliation results.
• Automated and manual test assets covering extraction, transformation, incremental loads, data completeness, data accuracy, report calculations, refresh, regression, and release validation.
• Operational logging, monitoring, alerting, restart, recovery, incident-investigation, and support procedures for the data pipelines and reporting solution.
• Technical designs, dimensional models, configuration notes, deployment instructions, runbooks, demonstrations, defect fixes, release support, and knowledge-transfer materials.

Additional Terms

• The term of this Engagement Assignment is for 124 Business Days, with an option to extend for up to an additional 64 days at the Agency's discretion. The Engagement Assignment may be extended for unused Business Days at the Agency's discretion.
• The resource will comply with the Agency's policies and procedures.
• The resource will be issued an Agency laptop and is expected to provide at least one additional monitor, an external keyboard and a mouse at their own expense. In addition, when the resource is working from their home location they must have a private office space and are not permitted to work in an open communal space. Internet connection must be hard-wired and suitable bandwidth to support the IT requirements of this role. If these conditions cannot be met within their home office space, the resource will transition to full time in office, and the hybrid option will no longer be available.
• The Agency systems cannot be accessed from outside the province of Ontario, and Agency assets including laptops and related equipment cannot be removed from the province of Ontario, without prior written approval from the Agency.
• Assignment Type: This position is currently listed as "Hybrid". The resource under this request will be required to work onsite as per Hiring Manager sole discretion.