SUMMARY:
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POSITION INFO:
We are seeking a Data Streaming Engineer with strong experience in Kafka and Flink for a contract position in the financial services industry. The ideal candidate will work closely with development and data engineering teams to support data streaming architecture, ensuring efficient real-time data processing. Key Responsibilities: Design, build, and maintain streaming pipelines using Kafka and Flink. Handle data integration, transformation, and real-time data processing. Collaborate with other engineering teams to integrate streaming solutions into a wider data ecosystem. Implement monitoring and alerting systems to ensure data pipeline reliability. Optimise data flows and create fault-tolerant data streaming systems. Key Requirements: Experience with Kafka and Flink : Strong skills in these technologies are non-negotiable. Solid knowledge in real-time data processing and distributed systems . Background in Data Engineering and building scalable data solutions. Strong proficiency in programming languages such as Python , Java , or Scala . Experience with cloud platforms like AWS , GCP , or Azure is an advantage. Familiarity with DevOps tools and principles. Additional Skills: Problem-solving and analytical thinking. Ability to work independently and manage complex projects. Strong communication skills for collaboration with cross-functional teams.
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