Capgemini is seeking a Data Engineer skilled in Pyspark to enhance technology solutions for leading organizations. This role emphasizes project management, complex problem analysis, and collaboration in a supportive setting.

As a Data Engineer with 5-8 years of experience, you will analyze business processes and recommend advanced programming solutions using your expertise in Spark and Python. Important tasks include overseeing the development process and providing operational support to business users. Your role will also involve mentoring lower-level analysts, ensuring high-quality system design, and consulting with various technology teams.

Key Responsibilities:
• Monitor development phases from design to implementation




• Analyze complex business and system processes
• Recommend and develop security measures for systems
• Collaborate with users on technical issues
• Act as an advisor to junior analysts

Requirements:
• 5-8 years of experience in data engineering
• Proficiency in Spark SQL and data optimization
• Strong background in Python and Pyspark
• Familiarity with HDFS and YARN management
• Ability to work independently under pressure

Leverage your technical skills in data engineering to drive impactful solutions at Capgemini.
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📌 Data Engineer with Pyspark at Capgemini (Ontario)
🏢 Capgemini
📍 Ontario