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 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.
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.
- 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.
Soft Skills:
- 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