Cloud Data Architect

• Cloud Expertise:
• Proficient in AWS services such as EC2 VPC Lambda DynamoDB API Gateway EBS S3 IAM and more.
• Design implement and maintain scalable cloudbased 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 endtoend 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.

• 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.
• Handson 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.

• Strong analytical and problemsolving skills.
• Excellent communication and collaboration abilities.
• Ability to work effectively in a fastpaced and dynamic team environment.
• Proactive mindset with a commitment to continuous learning and improvement.

artificial intelligence,ml,cloud applications,data engineering