Data Platform Engineer

Data warehouse engineer • old toronto on

• Design, deploy and maintain a centralized Azure ADLS Gen2/Databricks/Synapse (or Snowflake) data lake that serves as the single source of truth
• Create batch & real‑time ETL/ELT flows (Azure Event Hubs, Kafka, Spark Streaming) to ingest EHR data and operational telemetry
• Write and run complex migration scripts using Informatica PowerCenter/IDMC or Azure Data Factory to move data from Epic, other EHRs and legacy OLTP stores into the lakehouse and Salesforce Health Cloud
• Build automated validation, deduplication, masking, encryption and column‑level security to guarantee 100% integrity and PHI compliance
• Build high‑throughput pipelines (SOQL, Bulk API 2.0, Informatica, MuleSoft, dbt, Python) that sync Health Cloud data with the central repository
• Transform HL7, FHIR and EDI messages into clean canonical schemas for storage and analytics
• Design Robust Data Models – Perform ER/3NF modeling for OLTP and dimensional (star/snowflake/medallion) modeling for OLAP analytics

Qualifications

• Bachelor’s degree in Computer Science, Software Engineering, Data Analytics, or a related technical field
• Experience: 3-7 years of hands‑on data engineering experience, with a proven track record of executing complex data migration projects and building cloud data lake architectures.
• Expertise in ER (Entity-Relationship) diagramming, relational database modeling (3NF for OLTP), and dimensional modeling (Star Schema, Snowflake, Medallion) for OLAP systems
• Experience with enterprise ETL platforms such as Informatica (Informatica PowerCenter / IDMC), Azure Data Factory, SSIS, or Talend for legacy data extraction and transformation
• Experience with cloud data architectures (Azure data services: Azure Data Factory, ADLS Gen2, Azure Synapse, Databricks) and familiarity with streaming/real‑time pipelines (Event Hubs, Kafka, Spark Streaming)
• Experience working with Salesforce data structures, SOQL, Salesforce Bulk API, and data loading tools (e.g.,Informatica Salesforce Data Loader, MuleSoft, Fivetran, dbt, or custom Python scripts)
• Expert-level SQL skills (complex joins, CTEs, window functions, schema design, index tuning, and database optimization)
• Strong Python skills for data manipulation, scripting, and pipeline execution using libraries like Pandas, PySpark, and SQLAlchemy
• Compensation is based on experience (Annual salary range $95,000 - $105, 000)

#corp_IT

Additional Information

This position is a current vacancy

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We thank all applicants, however, only those individuals selected for interviews will be contacted.

In accordance with the Accessibility for Ontarians with Disabilities Act 2005, upon request, support will be provided for accommodations throughout the recruitment process.

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