Aws Data & Ai Platform Engineer

Job Title: Senior AWS Data Engineer Location: Bangalore & Hyderabad (Hybrid) Experience: 5-12 Years The Role We are looking for a Senior Data Engineer. Who will manage the high-availability AWS environments while building scalable ETL pipelines using AWS Glue (PySpark). Responsibilities Infrastructure: Design and manage secure, scalable AWS environments (VPC, EC2, S3, RDS, IAM). Data Engineering: Develop AWS Glue ETL jobs (PySpark), manage Data Catalogs, and optimize S3 Data Lakes. Containers: Package and deploy workloads using Docker and EKS/ECS. Operations: Implement CloudWatch monitoring, troubleshoot Glue job failures, and optimize for cost/performance. AWS Glue & Data Engineering Design, develop, and maintain AWS Glue ETL jobs using PySpark / Python. Build and manage AWS Glue Crawlers, Data Catalogs, and metadata structures. Implement batch and near-real-time ingestion pipelines into Amazon S3–based data lakes. Design efficient partitioning, schema management, and job performance ...