Azure Databricks Data Engineer — Cloud ETL & Spark

Infosys BPM Philippines; Calgary; On-site; CAD 93,000 - 123,000; Full time

Job summary

Infosys is seeking an Azure Databricks Data Engineer to design, develop, and optimize scalable cloud-based data solutions. The role focuses on Azure data services, Databricks, PySpark, and modern data engineering practices to support analytics and data modernization initiatives.

Applicants should have a Bachelor’s degree or equivalent, at least 4 years IT experience, and be within commuting distance of Mississauga, Calgary, or Burnaby, or be willing to relocate. Travel may be required.

Qualifications

• Bachelor’s degree or foreign equivalent required from an accredited institution.
• Candidates authorized to work in Canada without visa sponsorship are welcome to apply; Infosys cannot sponsor immigration for this role.
• At least 4 years of Information Technology experience.
• Candidate must be located within commuting distance of Mississauga, ON / Calgary, AB / Burnaby, BC or be willing to relocate.

Responsibilities

• Design, develop, and optimize scalable cloud-based data solutions.
• Leverage Azure data services and Databricks to support analytics and data modernization initiatives.
• Collaborate with cross-functional teams to deliver robust data platforms.

Skills

Azure Databricks

PySpark

Azure Data Factory

Delta Lake

Education

Bachelor’s degree

Tools

Azure Databricks

PySpark

Delta Lake

Azure Data Factory (ADF)

Job description

Infosys is seeking an Azure Databricks Data Engineer to design, develop, and optimize scalable cloud-based data solutions. The role focuses on Azure data services, Databricks, PySpark, and modern data engineering practices to support analytics and data modernization initiatives.

Applicants should have a Bachelor’s degree or equivalent, at least 4 years IT experience, and be within commuting distance of Mississauga, Calgary, or Burnaby, or be willing to relocate. Travel may be required.