Data Developer for Databricks Engineering

About

Join Canadian Natural in Calgary as a Data Developer focused on Databricks engineering. Make an impact on cutting-edge Data Lakehouse technologies and optimize data solutions.

This role requires a seasoned Data Developer to spearhead the design and delivery of robust data pipelines for analytics and business intelligence functions. You will collaborate with diverse teams, bringing technical leadership in building production-grade data solutions. Your expertise will be vital in ensuring data quality and enabling Canadian Natural's data-driven initiatives.

Key Responsibilities:

• Lead the design of Databricks pipelines using PySpark and Spark
• Drive Lakehouse architecture and technical standards
• Build and optimize high-performance ETL/ELT on Databricks
• Implement governance, security, and data quality patterns
• Serve as a mentor in data engineering practices

Requirements:

• Degree in Computer Science or relevant field
• Over 12 years of experience in data engineering
• Strong hands-on experience with Databricks
• Advanced skills in SQL, PySpark, and Python
• Familiarity with cloud platforms like Azure

Become a part of a team that strives for excellence in data engineering and analytics!