Senior Data Engineer — Hybrid (4 Days Remote) for Data Pipelines

Cpus Engineering Staffing Solutions Inc.; Pickering; Hybrid; CAD 90,000 - 120,000; Full time

Job summary

A leading company is seeking a Senior Data Engineer to build and support data-driven applications and pipelines. This role involves working in a hybrid setting, leveraging tools in the Microsoft Stack to ensure high-quality data management and analytics. Candidates should possess relevant university education and proficiency in Azure technologies, ensuring collaboration across teams and effective communication of data strategies.

Qualifications

• Experience as a Data Engineer using Azure Data Factory and Databricks is required.
• Fluent in creating data processing frameworks using Python, PySpark, and SQL.
• Good understanding of data structures and processing frameworks.

Responsibilities

• Build and support data driven applications and data warehouse products.
• Implement data ingestion and curation pipelines for business intelligence.
• Collaborate with cross-discipline teams to optimize data delivery.

Skills

Data pipeline design

Data governance

Data quality principles

Communication skills

Education

Four-year University education in computer science or relevant program

Tools

Azure Data Factory

Databricks

PySpark

SQL

Job description

A leading company is seeking a Senior Data Engineer to build and support data-driven applications and pipelines. This role involves working in a hybrid setting, leveraging tools in the Microsoft Stack to ensure high-quality data management and analytics. Candidates should possess relevant university education and proficiency in Azure technologies, ensuring collaboration across teams and effective communication of data strategies.