Description

You will manage and optimize large-scale enterprise data workloads within AWS-native environments.

Responsibilities

• Ingest, store, and optimize data pipelines across MongoDB, DynamoDB, and Amazon S3.
• Design and implement data storage and processing strategies for distributed systems.
• Build data pipelines supporting ingestion from streaming sources like Kafka and Kinesis.
• Define infrastructure using Terraform and manage deployments in AWS.
• Ensure robust logging, monitoring, and alerting using CloudWatch, X-Ray, and Dynatrace.

Required Skills

• 5+ years of experience in data engineering.
• Expert-level experience with AWS-native data platforms.
• Hands-on experience with NoSQL technologies including MongoDB and DynamoDB.
• Proficiency with Terraform and Infrastructure as Code (IaC) best practices.
• Experience with streaming services such as Kafka and Kinesis.
• Technical expertise in AWS Lambda and Java/Spring Boot integration with NoSQL.
• Experience with monitoring tools including CloudWatch and Dynatrace.
• Strong understanding of cloud networking, security, and access control.

Key Skills

Education

Any Gradute