Join Capgemini as a Data Engineer with a focus on Pyspark to support global organizations in unlocking technology's potential. This position requires mastering Spark applications and consulting with diverse teams.

In this role, you will utilize 5-8 years of relevant experience to ensure high-quality system functionality and user support. Your responsibilities will include consulting on advanced programming solutions, monitoring development processes, and mentoring junior analysts. A strong understanding of data architecture and optimization techniques in Spark will be crucial to ensure effective project implementation.

Key Responsibilities:
• Oversee all development phases including testing and analysis
• Consult on complex technical issues with users




• Develop and recommend security measures post-implementation
• Define operating standards and consistent procedures
• Provide mentorship to junior team members

Requirements:
• 5-8 years in data engineering or related fields
• Expert-level knowledge in Python and Spark
• Familiarity with performance optimization techniques
• Experience in managing project workflows
• Strong analytical skills for problem-solving

Utilize your expertise in Spark and Pyspark to deliver creative solutions at Capgemini.
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📌 Capgemini Pyspark Data Engineering Role (Ontario)
🏢 Capgemini
📍 Ontario