Advance your career as a Senior Data Engineer with Publicis Canada in a hybrid work environment. Drive data pipeline production and transform complex datasets into actionable insights.
This role requires 6+ years of data engineering experience and proficiency in Python, SQL, and Spark. You will collaborate with analytics, product, and engineering teams to design data contracts and implement ingestion patterns. Your mission is to enhance data quality and governance, contributing to the marketing data ecosystem.
Key Responsibilities:
• Design reliable batch and streaming data pipelines
• Implement scalable ETL/ELT transformations with Spark and SQL
• Build automated checks for data quality and integrity
• Develop models for analytics and business intelligence
• Ensure governance and observability of data outputs
Requirements:
• 6+ years in data engineering with cloud experience
• Proficient in Python, SQL, and Spark at scale
• Hands-on experience with Azu...