About Position: We are seeking for Data Engineer with hands on experience in AWS, ETL, Lambda, etc., Role: Data Engineer Location: All Persistent Locations Experience: 5 to 11 years Job Type: Full Time Employment What You'll Do: Design, develop, and maintain data pipelines: Create scalable and efficient data pipelines using AWS services like Kinesis, Glue, Lambda, Step Functions, and Redshift. Data integration: Integrate data from various sources into a centralized data warehouse, ensuring data consistency, quality, and security. ETL processes: Develop and manage ETL processes using AWS Glue and other relevant tools to transform and load data into Redshift or other databases. Real-time data processing: Implement real-time data processing solutions using AWS Kinesis and Lambda to handle streaming data. Automation: Automate data workflows and processes using AWS Step Functions and other orchestration tools. Performance optimization: Optimize SQL queries and database performance for effic...