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Job Description We are seeking a highly skilled and motivated Cloud Data Engineer with a strong background in computer science or statistics, coupled with at least 5 years of professional experience. The ideal candidate will possess a deep understanding of cloud computing, particularly in AWS, and should have a proven track record in data engineering, Big Data applications, and AI/ML applications. Responsibilities Cloud Expertise: Proficient in AWS services such as EC2, VPC, Lambda, DynamoDB, API Gateway, EBS, S3, IAM, and more. Design, implement, and maintain scalable cloud-based solutions. Execute efficient and secure cloud infrastructure configurations. Data Engineering: Develop, construct, test, and maintain architectures, such as databases and processing systems. Utilize coding skills in Spark and Python for data processing and manipulation. Administer multiple ETL applications to ensure seamless data flow. Big Data Applications: Work on end-to-end Big Data application projects, from conception to deployment. Optimize and troubleshoot Big Data solutions to ensure high performance. AI/ML Applications: Experience in developing and deploying AI/ML applications based on NLP, CV, and GenAI. Collaborate with data scientists to implement machine learning models into production environments. DevOps and Infrastructure as a Service (IaaS): Possess knowledge and experience with DevOps applications for continuous integration and deployment. Set up and maintain infrastructure as a service, ensuring scalability and reliability. Qualifications Bachelor’s degree in computer science, Statistics, or a related field. 5+ years of professional experience in cloud computing, data engineering, and related fields. Proven expertise in AWS services, with a focus on EC2, VPC, Lambda, DynamoDB, API Gateway, EBS, S3, IAM, etc. Proficient coding skills in Spark and Python for data processing. Hands-on experience with Big Data application projects. Experience in AI/ML applications, particularly in NLP, CV, and GenAI. Administration experience with multiple ETL applications. Knowledge and experience with DevOps tools and processes. Ability to set up and maintain infrastructure as a service. Soft Skills Strong analytical and problem-solving skills. Excellent communication and collaboration abilities. Ability to work effectively in a fast-paced and dynamic team environment. Proactive mindset with a commitment to continuous learning and improvement. Show more Show less
