AWS Data Engineer

Responsibilities: • Design AWS architectures based on business requirements. • Create architectural diagrams and documentation. • Present cloud solutions to stakeholders. • Design, develop, and maintain scalable ETL/ELT pipelines using AWS services like Glue, Lambda, and Step Functions. • Work with batch and real-time data processing using AWS Glue, Kinesis, Kafka, or Apache Spark. • Optimize data pipelines for performance, scalability, and cost-effectiveness. • Identify bottlenecks and optimize query performance on Redshift, Athena, and Glue. Requirements: • Strong knowledge of AWS services: EC2 S3 RDS, Lambda, IAM, VPC, CloudFormation, CloudWatch, etc. • Experience with serverless architectures (AWS Lambda, API Gateway, Step Functions). • Experience with AWS networking (VPC, Route 5,3 ELB, Security Groups, etc. ). • Experience with AWS CloudFormation for automating infrastructure. • Proficiency in scripting languages such as Python or Bash. • Experience with automation tools (AWS Systems Manager, AWS Lambda) • Experience with containerization (Docker, Kubernetes, AWS ECS, EKS, Fargate). • Experience with AWS CloudWatch, AWS X-Ray, ELK Stack, or third-party monitoring tools. • Experience with AWS database services (RDS, DynamoDB, Aurora, Redshift). • Experience with storage solutions (S3 EBS, EFS, Glacier). • Experience with AWS Direct Connect, Transit Gateway, and VPN solutions. • Skills: AWS Cloud, aws data engineer. Apply tot his job Apply To this Job