AWS Data Engineer

<p><p><b>Description :</b><br/><br/>- Design, implement, and manage AWS-based solutions leveraging multiple services.<br/><br/>- Work with EMR, understand its fundamentals, differences with AWS Glue, instance types, and bootstrapping processes.<br/><br/>- Manage and optimize DynamoDB workloads and Step Functions workflows.<br/><br/>- Administer S3 storage, including storage classes, S3 events, versioning, and lifecycle management.<br/><br/>- Develop and deploy AWS Lambda functions with layers and event-driven architectures.<br/><br/>- Maintain and optimize Redshift data warehouses with advanced configuration and performance tuning.<br/><br/>- Manage core AWS services such as EC2, EKS, IAM, and integrate with NoSQL databases.<br/><br/>- Collaborate with cross-functional teams to deliver scalable and secure cloud solutions.<br/><br/>- Monitor and troubleshoot cloud environments, implementing cost optimization and performance improvements.<br/><br/><b>Required Skills & Qualifications :</b><br/><br/>- Strong hands-on experience with AWS services : EMR, DynamoDB, Step Functions, S3, Lambda, Redshift, EC2, EKS, IAM.<br/><br/>- Solid understanding of cloud architecture principles, high availability, and fault-tolerant systems.<br/><br/>- Experience with NoSQL databases and data storage optimization.<br/><br/>- Strong problem-solving, analytical, and communication skills.<br/><br/>- Ability to work in a fast-paced and collaborative environment.<br/><br/><b>Preferred Skills :</b><br/><br/>- AWS certifications (Solutions Architect, Developer, or DevOps)<br/><br/>- Experience with infrastructure-as-code tools (CloudFormation, Terraform)<br/><br/>- Familiarity with CI/CD pipelines and DevOps practices</p><br/></p> (ref:hirist.tech)