Job Description

  • Streaming Data Processing: Design, implement, test and maintain highly scalable real-time stateless and stateful data transformations, ensuring low latency and data quality 
  • Data System Design: Design and implement robust, scalable data processing systems: this involves selecting appropriate storage technologies, designing schemas, and planning integration strategies
  • Data Integration and ETL Development: Develop and maintain pipelines for data transformation, integration, and ETL processes. Ensure data quality and accessibility 
  • Performance Optimization: Monitor, tune, and optimize data applications and database performance. Address any issues that may affect data processing speeds or analytics capabilities 
  • Consulting and Strategy: Provide expert advice and consultancy services to clients on data strategies, architecture choices, and technological advancements 
  • Analytics and Business Intelligence Support...

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