Senior Data Engineer

We are looking for a Senior Data Engineer with a strong technical background in data engineering and a proactive problem-solver with excellent communication skills. You should have a proven ability to build and maintain scalable data architectures and be comfortable working in a dynamic, fast-paced environment. The ideal candidate is passionate about optimizing data pipelines, has strong analytical skills, and is experienced in cloud infrastructure and big data technologies. You thrive in collaborative settings and enjoy working on complex data challenges that enable data-driven decision-making across the organization. Responsibilities Design, develop, and maintain data pipelines and ETL processes to ensure efficient and scalable data flow. Collaborate with internal teams and external customers to understand data needs and provide high-performance solutions. Manage cloud-based data infrastructures, ensuring optimal performance and scalability for large datasets. Implement and monitor data quality and integrity checks throughout the data lifecycle. Build and maintain reporting systems, dashboards, and data models to enable data analysis and insights generation for internal and external stakeholders. Other responsibilities: Collaborate with cross-functional teams (Product, Development, Customer Success, Finance,...) to integrate data solutions into the organization's products and services. Provide expertise in designing and optimizing distributed data architectures. Ensure data systems are secure, reliable, and scalable, with a focus on best practices in cloud infrastructure. Drive continuous improvements in data management processes, including real-time data processing and streaming using tools like Kafka. Lead the development of new tools and techniques to enhance the organization’s data capabilities.