Job Title: CSC-FY26-0176: PSAE ODP Migration-Data

Ops/Cloud Data Eng-Sr Location: Toronto, ON M5G 2C8 - Hybrid Duration: 12 Months + Extensions Candidate MUST work 3 days onsite.

This is subject to change based on manager discretion or change in OPS policy.

Description: To support Post Secondary Analytics (PSAE) from FY26-27 to FY27-28 to migrate from legacy infrastructure to Ontario Data Platform (ODP).

Responsibilities: Designing and developing data pipelines from source to end user Optimizing data pipelines General Skills: Experience with Cloud data platforms, data management and data exchange tools and technologies Experience with Commercial and opensource data and database development and management and specializing in data storage setting and managing cloud Data As a Service (DaaS), application Database as a Service (DBaaS), Data Warehouses as a Service (DWaaS), and other storage platforms (both in the cloud and on-premise).

Experience with Data pipeline and workflow development, orchestration, deployment, and automation and specializing in programming and pipelines to create and managing the dataflow and movement of data.

Experience with Cloud data engineer must be familiar and experienced with different programming languages including python (pyspark) and SQL, and be able to integrate with many different platforms to create data pipelines, automate tasks, and write scripts.

Experience in DataOPS principle, best practice, and implementation and Agile project development and deployment Experience in Continuous Integration/Continuous Development/Deployment (CI/CD) and Data provisioning Automation Experience with digital product, data analysis, data exchange, data provisioning,



and data security Extensive expert experience in designing/developing and implementing data conversation and migration of VLD (Very large Data) of Online analytical processing (OLAP) and online transaction processing (OLTP) environments to Cloud Software-as-a-service (SaaS), Platform-as-a-service (PaaS) and Infrastructure-as-a-service (IaaS) environments.

Experience in design, development and implementation of fact/dimension model, data mapping, data warehouse, data lake and data lakehouse for enterprise Experience managing Cloud Data services for project delivery, including storage, repositories, Data Lake, Data Lakehouse, key vault, virtual machine, disk, etc.

Experience with structured, semi-structured, unstructured data collection, ingestion, provisioning and exchange technological development of enterprise data warehouse and data lake and data lakehouse solutions and operational support.

Experience with DataOPS performance monitoring and tuning Excellent analytical, problem-solving and decision-making skills; verbal and written communication skills; presentation skills; interpersonal and negotiation skills A team player with a track record for meeting deadlines Must Have: Experience developing ETL processes with Informatica, Azure Data Factory and Databricks (Python, Lakeflow, and SQL Optimization) Experience with solution development with Databricks in Medallion Architecture.

Experience with Cloud data engineer must be familiar and experienced with different programming languages (Python, SQL, t-SQL, PL/SQL, Informatica, ADF, SSIS.

Microsoft Fabric) and be able to integrate with many different platforms to create data pipelines, jobs, automate tasks, and write scripts.

Experience with Data pipeline and workflow development #Career

Builder #Monster #Dice #Indeed #Linked

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📌 CSC--0176: PSAE ODP Migration-DataOps/Cloud Data Eng-Sr in Toronto, ONG 2Hybrid
🏢 Amicis Global
📍 Toronto