AWS Data Engineer

About the Role

We are seeking an experienced AWS Data Engineer to design, develop, and optimize cloud-based data solutions. The ideal candidate has strong hands-on experience with AWS data services, scalable ETL / ELT pipelines, and modern data architecture patterns. You will work collaboratively with analytics, engineering, and business teams to support data-driven decision-making.

Key Responsibilities

• Design and develop scalable ETL / ELT pipelines using AWS services (Glue, Lambda, EMR, Step Functions, ECS / Fargate).
• Build and maintain data lakes and data warehouses using S3, Redshift, Athena, and Lake Formation.
• Optimize data workflows for performance, reliability, and cost efficiency.
• Implement data quality, validation, and monitoring frameworks.
• Collaborate with data scientists, BI engineers, and analysts to deliver accessible and reliable datasets.
• Automate pipeline deployment using CI / CD tools (CodePipeline, GitHub Actions, etc.).
• Ensure data governance, compliance, and security following AWS best practices (IAM, KMS, VPC).
• Troubleshoot and resolve issues across data pipelines and AWS environments.

Required Skills & Experience

Preferred Qualifications

What We Offer