Data Ops/Cloud Data Engineer

🚨HIRING: Data Ops / Cloud Data Engineer
💼Job Title: RQ11576 - Data Ops / Cloud Data Engineer - Senior
🏢Client: Ministry of Public and Business Service Delivery and Procurement
📍Location: 595 Bay St., Toronto, Ontario (Onsite)
🗓️Start Date: 21 September 2026
🗓️End Date: 01 October 2027
⏰Hours per day: 7.25 hours/day
📅Business Days: 283.00
⌛Application Deadline Date: Monday, Oct 26, 10:00 AM EST
🎯Must Have:
🔹Experience with Databricks, Delta Lake and Databricks SQL
🔹Knowledge of Medallion Architecture
🔹Experience with Azure Data Services/Azure Data Factory
🔹Experience with Informatica or equivalent integration platforms
🔹Experience operationalizing common data models and metadata repositories
⭐Nice Have:
🔹Prior OPS/Public sector exp.
🔹Experience with Microsoft Purview and Microsoft Fabric
✅General Skills:
🔹Cloud Platforms: End-to-end cloud/on-prem DaaS, DBaaS, Data Warehouses, Lakes & Lakehouses.
🔹Pipeline & Automation: Scalable ETL/ELT, orchestration, programming & workflow automation.
🔹DataOps & CI/CD: CI/CD deployment, testing, operational support & performance tuning.
🔹Architecture & Migration: Cloud-native architecture & OLAP/OLTP to Cloud (SaaS/PaaS/IaaS) migration.
🔹Governance & Modeling: Data modeling (fact/dim), mapping, metadata, quality & security standards.
🔹Integration: APIs, event-driven, batch/streaming, data exchange & provisioning.
🔹Core Competencies: Problem-solving, decision-making, team collaboration & communication.
🎓Experience:
🔹Cloud Platform Engineering: Designing, implementing, and supporting scalable cloud-based data platforms.
🔹Pipeline & Integration Delivery: Building scalable ETL/ELT pipelines using APIs, event-driven, and batch/streaming architectures.
🔹DataOps & Automation: Automating CI/CD, deployment, metadata collection, lineage, data quality, and operational workflows.
🔹Metadata & Governance: Collaborating with architects and governance teams to operationalize data standards, metadata, and common models.
🔹Migration & Optimization: E