Data Engineer – AWS, Python

Data Engineer AWS, Python Role Description: We are seeking an experienced ETL/Data Engineer with strong cloud expertise to design, develop, and maintain data pipelines. The ideal candidate will have hands-on experience with AWS services, large-scale data processing, and deployment pipelines. Responsibilities: Data Pipeline Development: Design and implement data pipelines on cloud platforms (AWS preferred). Handle large volumes of data from multiple sources. Perform data cleansing, data validation, and transformation. ETL & Cloud Development: Hands-on ETL development using Python and SQL. Utilize AWS services such as Glue, Glue Crawlers, Lambda, Redshift, Athena, S3, EC2, IAM. Implement monitoring and logging mechanisms using AWS CloudWatch and set up alerts. Deployment & CI/CD: Deploy solutions on the cloud. Integrate CI/CD pipelines to build artifacts and deploy changes across environments. Scheduling & Orchestration: Work with scheduling frameworks like Airflow and AWS Step Function...