RQ11048 – DataOps/Cloud Data Engineer – Senior

Cyber-Infomax Solutions Inc.; Toronto; On-site; CAD 90,000 - 130,000; Full time

Job summary

Cyber-Infomax Solutions Inc. is seeking a data engineer to design and optimize complex data pipelines using Informatica, Azure Data Factory and Databricks. You will implement Medallion Architecture, develop scalable pipelines, and ensure robust data movement and automation across platforms.

The role requires strong programming skills in Python and SQL, plus experience with Delta Lake indexing and data orchestration. Toronto-based on-site collaboration is expected.

Qualifications

• Experience developing ETL processes with Informatica, ADF and Databricks.
• Databricks Medallion Architecture experience.
• Familiar with multiple languages: Python, SQL, t-SQL, PL/SQL, Informatica, ADF, SSIS, Microsoft Fabric.
• Experience building data pipelines, automation and orchestration.

Skills

ETL development

Informatica

Azure Data Factory

Databricks

Python

SQL

t-SQL

PL/SQL

SQL optimization

Lakeflow

Databricks Medallion Architecture

Delta Lake

Data pipelines

orchestration & automation

Tools

Informatica

Azure Data Factory

Databricks

Python

SQL Server/SSIS

Microsoft Fabric

Job description

Ministry of Public and Business Service Delivery and Procurement
Community Services Cluster
777 Bay St, Toronto

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, orchestration, deployment, and automation and specializing in programming and pipelines to create and managing the dataflow, Delta Lake indexing, parallelism and movement of data.