AWS Data Engineer - Integration & Modelling

Description :

We are seeking an experienced AWS Data Engineer to design, build, and maintain scalable data pipelines and cloud-based data platforms on Amazon Web Services (AWS). The ideal candidate will have strong expertise in data integration, data modeling, ETL development, and cloud data architecture, with a focus on performance, scalability, and security.

Key Responsibilities :

• Design and implement data ingestion, transformation, and storage pipelines using AWS services such as Glue, Lambda, EMR, Redshift, and S3.
• Develop and optimize ETL / ELT workflows to support analytics, data science, and reporting requirements.
• Collaborate with data scientists, analysts, and business teams to understand data needs and ensure reliable data delivery.
• Build and maintain data lake and data warehouse architectures on AWS.
• Work with both structured and unstructured data, ensuring high quality, consistency, and availability.
• Manage data security, governance, and compliance according to organizational standards.
• Implement data validation, quality checks, and monitoring frameworks for pipelines.
• Optimize performance and cost across storage, compute, and data processing layers.
• Leverage Infrastructure as Code (IaC) tools like Terraform or CloudFormation for environment setup and automation.
• Support DevOps and CI / CD practices for automated data pipeline deployments.

Required Skills & Qualifications :

Hands-on expertise in AWS data services such as :

Preferred Skills :

(ref : hirist.tech)