Description

Provision and manage AWS Data Lake environments, analytics services, and ML inference pipelines.

This role is on-site.

Responsibilities

• Provision and manage AWS Data Lake infrastructure and analytics services.
• Deploy custom ML models on AWS SageMaker and build automated inference pipelines.
• Build real-time model inference pipelines utilizing REST APIs.
• Tune Athena queries using ANSI SQL to optimize performance.
• Implement security best practices using AWS Macie, Security Manager, and Certificate Manager.

Required Skills

• 5+ years of experience in data engineering or cloud infrastructure.
• Deep knowledge of AWS Analytics Services.
• Experience with AWS SageMaker for ML model deployment.
• Proficiency in building serverless inference pipelines.
• Hands-on experience with REST APIs for real-time inference.
• Strong command of ANSI SQL for query tuning in Athena.
• Experience with AWS data collection services including DMS and Kinesis.
• Working knowledge of AWS security tools: Macie, Security Manager, and Certificate Manager.

Key Skills

Education

Any Graduate