Join Infosys as a Big Data Engineer specializing in Spark and PySpark technologies. Drive innovation in data processing with scalable big data solutions in Ontario.

In this role within Infosys, you will be essential in developing and optimizing robust data solutions through effective collaboration with data engineers and stakeholders. Candidates should possess at least 4 years of experience in Information Technology with a solid focus on Spark and Scala programming. Your contributions will directly impact enterprise analytics and performance.

Key Responsibilities:
• Develop scalable data pipelines using Apache Spark and Scala
• Optimize data processing workflows leveraging Hadoop and Kafka
• Create Spark applications for intricate data transformations




• Manage data streaming by integrating Spark and Kafka
• Enhance performance through advanced tuning and partitioning

Requirements:
• Minimum 4 years in Information Technology and big data
• Proficient in Python and Scala programming languages
• Experience with streaming frameworks like Kafka
• Understanding of SQL and data modeling concepts
• Strong communication skills for collaborating with teams

Shape the future of data engineering at Infosys by applying your analytical skills and big data knowledge.
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📌 Big Data Engineer - Spark & PySpark (Ontario)
🏢 Infosys
📍 Ontario