Streaming Data Engineer

- 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: Assist in developing analytics platforms and business intelligence solutions, ensuring that data can be effectively transformed into actionable insights  - Client Interaction: Work closely with clients to understand their business needs and technical requirements. Translate these requirements into effective data engineering solutions