Description

Qualifications
We are looking for a Data Engineer with expert-level experience in AWS-native data platforms and NoSQL technologies
MongoDB, DynamoDB, Amazon S3
Terraform and IaC best practices
Logging and monitoring with AWS CloudWatch and Dynatrace
Advanced technical expertise across cloud infrastructure, networking, and security
Strong understanding of access control and data lifecycle management
High-level critical thinking, problem-solving, and self-directed work style

Responsibilities
You'll work on ingesting, storing, and optimizing data pipelines across MongoDB, DynamoDB, and Amazon S3-supporting large-scale enterprise data workloads
Design and implement data storage and processing strategies using MongoDB, DynamoDB, and S3
Build data pipelines that support ingestion from streaming sources like Kafka and Kinesis
Optimize data models for performance and scalability within distributed systems
Define infrastructure using Terraform and manage deployments in AWS
Ensure robust logging, monitoring, and alerting with CloudWatch, X-Ray, and Dynatrace
Collaborate with architects, developers, and platform engineers to maintain high data quality and availability
Lambda, Java/Spring Boot integration with NoSQL

Education

Any Gradute