Description
Join Publicis Canada as a Senior Data Engineer and take charge of developing sophisticated data pipelines. This hybrid role allows you to work partly remotely while making significant contributions to our data initiatives.
You will have 6+ years of data engineering experience and be adept in technologies like Python, SQL, and Spark. This role involves collaborating with product, engineering, and analytics teams to deliver efficient data solutions. Your expertise will ensure robust data governance and high-quality outputs critical to our customer and marketing operations.
Key Responsibilities:
• Design and operate scalable data ingestion pipelines from diverse sources
• Implement effective ETL transformations with clear ownership
• Create automated data quality checks for reliable outputs
• Build models that enable self-service analytics for users
• Establish strong observability and operational practices on data
Requirements:
• At least 6 years in data engine...
You will have 6+ years of data engineering experience and be adept in technologies like Python, SQL, and Spark. This role involves collaborating with product, engineering, and analytics teams to deliver efficient data solutions. Your expertise will ensure robust data governance and high-quality outputs critical to our customer and marketing operations.
Key Responsibilities:
• Design and operate scalable data ingestion pipelines from diverse sources
• Implement effective ETL transformations with clear ownership
• Create automated data quality checks for reliable outputs
• Build models that enable self-service analytics for users
• Establish strong observability and operational practices on data
Requirements:
• At least 6 years in data engine...
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