Senior Data Engineer

Job Title – Senior Data Engineer Job Nature – Full-time Experience – 6 to 8 years About AMDC AI The AMDC AI Team is a transversal Artificial Intelligence capability enabling business divisions to create measurable value through responsible, production-grade AI and data solutions. We support the full lifecycle of AI initiatives across Finance, HR, Supply Chain, Logistics, Manufacturing, and Operations, while owning technical delivery, quality, and risk controls. Role Summary As a Senior Data Engineer, you will be responsible for designing, developing, and maintaining large-scale data processing systems, as well as collaborating with cross-functional teams to integrate AI capabilities into business processes. Key Responsibilities: • Design, develop, and maintain large-scale data processing systems using various programming languages (e.g., Python, Java) and big data technologies (e.g., Hadoop, Spark). • Collaborate with cross-functional teams to integrate AI capabilities into business processes, ensuring seamless integration with existing systems. • Develop and maintain data pipelines, data warehouses, and data lakes to support AI initiatives. • Work closely with data scientists and analysts to understand their requirements and develop solutions that meet their needs. • Ensure the quality and integrity of data processing systems, adhering to industry standards and best practices. • Stay up-to-date with emerging trends and technologies in the field of artificial intelligence and big data, applying this knowledge to improve existing processes and develop new ones. Requirements: • 6-8 years of experience in designing, developing, and maintaining large-scale data processing systems. • Strong understanding of programming languages (e.g., Python, Java) and big data technologies (e.g., Hadoop, Spark). • Experience with AI frameworks and tools (e.g., TensorFlow, PyTorch). • Excellent problem-solving skills, with the ability to analyze complex problems and develop effective solutions. • Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams. • Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field. Benefits: • Competitive salary and benefits package. • Opportunities for professional growth and development. • Collaborative and dynamic work environment. • Flexible working hours and remote work options.