Lead Data Engineer – Kafka Streaming & Spark

SSi People is a company with over 26 years of industry experience, focusing on delivering exceptional experiences for their consultants and clients. They are seeking a Lead Data Engineer to drive mission-critical projects related to scalable data pipelines and real-time processing solutions.

Responsibilities:

• Lead the design, optimization, and maintenance of large-scale distributed data platforms, streaming architectures, and high-performance ETL/ELT workflows
• Build scalable data pipelines and real-time processing solutions using technologies such as Hadoop, Spark, Python, Scala, Kafka, and Kafka Streams/KStream
• Present to clients and executives, ensuring effective communication and demonstrated executive presence while representing technical concepts
• Stay current with AI/data technologies, including vector databases, graph databases, and AI/ML platform integrations to support next-generation analytics

Requirements:

• Bachelor's degree in Computer Science, Information Systems, or a related field
• Proven experience as a Data Engineer or in a similar role
• Strong programming skills in languages such as Python, Java, or Scala
• Kafka experience (including Streams/KStream) is mandatory