Job Search and Career Advice Platform

Enable job alerts via email!

Data Engineer - Lakehouse & ETL Pipelines (Azure)

Vaco Recruiter Services

Remote

CAD 80,000 - 100,000

Full time

Today
Be an early applicant

Generate a tailored resume in minutes

Land an interview and earn more. Learn more

Job summary

A leading Canadian energy organization is seeking a skilled Data Engineer to build high-performance data lakes and warehouses. You will design scalable data pipelines and collaborate with cross-functional teams. The ideal candidate has a Bachelor's degree in Computer Science and experience with Azure tools, including Data Factory and Databricks. This full-time remote position offers competitive pay and opportunities for growth within the energy sector.

Benefits

Medical, dental, and vision benefits
401(k) retirement plan
Performance bonuses

Qualifications

  • Bachelor’s degree in computer science, Software Engineering, or related field (or equivalent experience).
  • Proven experience designing and building data pipelines in enterprise environments.
  • Proficiency in Python, PySpark, SparkSQL, and SQL.

Responsibilities

  • Build reliable and high-performance data lakes and warehouses.
  • Design and deploy scalable ELT/ETL pipelines.
  • Collaborate with analysts and engineers to support data marketplace.

Skills

Python
Spark
SQL
Data Engineering
Communication

Education

Bachelor’s degree in Computer Science or related field

Tools

Azure Data Factory
Azure Data Lake
Databricks
Synapse Analytics
Job description
A leading Canadian energy organization is seeking a skilled Data Engineer to build high-performance data lakes and warehouses. You will design scalable data pipelines and collaborate with cross-functional teams. The ideal candidate has a Bachelor's degree in Computer Science and experience with Azure tools, including Data Factory and Databricks. This full-time remote position offers competitive pay and opportunities for growth within the energy sector.
Get your free, confidential resume review.
or drag and drop a PDF, DOC, DOCX, ODT, or PAGES file up to 5MB.