Kafka Engineer

• Take ownership of Kafka stream implementation design, make technical decisions, and define a data model, topology, etc
• Establish topology guiding principles and define how to transform raw data toward the target data model
• Take significant technical decisions with respect to the target database, Kafka setup, etc
• Provide expertise, guidance, and support to Kafka developers
• Effectively store large volumes of structured and unstructured data by building and maintaining data lakes
• Develop and maintain data pipelines; extract and process data effectively to and enable analytics and reporting in real-time
• Partake in cross-departmental collaboration to develop data-driven solutions for business-related issues
• Ensure data integrity, accuracy, and completeness, across all data systems
• Developing and maintaining data models to support business reporting and analytics needs
• Optimize existing data systems to enhance performance, reliability, and scalability
• Increase efficiency and reduce errors by automating data processing and quality assurance tasks

Job Requirements:

• Bachelor s/Master s degree in Engineering, Computer Science (or equivalent experience)
• At least 4+ years of relevant experience as a Kafka Engineer
• Strong understanding of Kafka streaming apps is a must
• Ability to transform data from a source system to target databases using Kafka Stream
• Understanding of working within a diverse team and a multiple-stakeholder environment
• Good English communication skills, both written and verbal