AWS Data Engineer - ETL / SQL / Python

Job Responsibilities :

• Design, develop, and maintain scalable data pipelines using AWS Glue and other ETL tools.
• Optimize and manage data models in Amazon Redshift and RDS for performance and cost-efficiency.
• Write complex SQL queries for data extraction, transformation, and reporting needs.
• Work extensively with Athena and Python for data analysis and transformation.
• Leverage AWS serverless services (Lambda, DMS, Glue, etc.) to build end-to-end data workflows.
• Collaborate with stakeholders to understand data requirements and deliver actionable insights.
• Manage and provision infrastructure using AWS CloudFormation.
• Ensure best practices in security, monitoring, and data governance.

Required Skills :

Programming : Python, PySpark

AWS Services :

AWS Glue

Amazon Redshift

AWS Lambda

AWS DMS (Database Migration Service)

Amazon RDS

AWS Athena

AWS CloudFormation

Database & Querying : SQL, Data Modeling

ETL Development : Designing and implementing ETL pipelines

Preferred Qualifications :

Experience with data lakes and data warehouse architecture.

Familiarity with CI / CD processes for data infrastructure.

Strong analytical and problem-solving skills.

Ability to work independently in a fast-paced environment

ref : hirist.tech)