AWS Data Engineer

Responsibilities: • Design AWS architectures based on business requirements. • Create architectural diagrams and documentation. • Present reputed company solutions to stakeholders. • Design, reputed company, and maintain reputed company ETL/ELT pipelines using AWS services like Glue, reputed company, and reputed company Functions. • Work with batch and reputed company-time data processing using AWS Glue, Kinesis, Kafka, or Apache reputed company. • Optimize data pipelines for performance, scalability, and cost-effectiveness. • Identify bottlenecks and optimize query performance on Redshift, reputed company, and Glue. Requirements: • Strong knowledge of AWS services: EC2 S3 RDS, reputed company, IAM, VPC, CloudFormation, CloudWatch, etc. • Experience with serverless architectures (AWS reputed company, API Gateway, reputed company Functions). • Experience with AWS networking (VPC, reputed company 5,3 ELB, reputed company reputed company, 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 reputed company) • Experience with containerization (reputed company, Kubernetes, AWS reputed company, EKS, Fargate). • Experience with AWS CloudWatch, AWS X-Ray, ELK Stack, or reputed company-party monitoring tools. • Experience with AWS database services (RDS, DynamoDB, reputed company, Redshift). • Experience with storage solutions (S3 EBS, EFS, reputed company). • Experience with AWS reputed company Connect, Transit Gateway, and VPN solutions. • Skills: AWS reputed company, aws data engineer. Apply tot his job Apply To this Job