AWS Cloud Python Data Engineer - ETL / ELT Pipelines

Data Engineer (L3) - Python & AWS

Job Overview :

We are seeking a highly skilled Data Engineer with strong expertise in AWS cloud services and Python programming. The ideal candidate will be responsible for designing, building, and maintaining scalable data pipelines, ensuring data availability, quality, and performance across enterprise systems. You will collaborate closely with data analysts, data scientists, and business stakeholders to deliver reliable, high-quality data solutions.

Total experience : 5 to 8 years

Key Responsibilities

• Design, develop, and maintain ETL / ELT data pipelines using Python and AWS native services (Glue, Lambda, EMR, Step Functions, etc.)
• Build and manage data lakes and data warehouses using Amazon S3, Redshift, Athena, and Lake Formation
• Implement data ingestion from diverse sources (RDBMS, APIs, streaming data, on-premise systems)
• Optimize data workflows for performance, cost, and reliability using AWS tools like Glue Jobs, Athena, and Redshift Spectrum
• Develop reusable, modular Python-based frameworks for data ingestion, transformation, and validation
• Work with stakeholders to understand data requirements, model data structures, and ensure data consistency and governance
• Deploy and manage data infrastructure using Infrastructure as Code (IaC) tools such as Terraform or AWS CloudFormation
• Implement data quality, monitoring, and alerting using CloudWatch, Glue Data Catalog, or third-party tools
• Support data security and compliance (IAM roles, encryption, data masking, GDPR policies, etc.)
• Collaborate with DevOps and ML teams to integrate data pipelines into analytics and AI workflows

Required Skills & Qualifications :

Preferred / Nice-to-Have Skills :

Soft Skills :

(ref : hirist.tech)