AWS Cloud Engineer

AWS Cloud Engineer

• MDM (Master Data Management) Build high-performance, low-latency APIs for: Creating and updating data Searching and filtering attributes Managing identifiers, relationships, and metadata Use Amazon API Gateway (HTTP/REST APIs) and AWS Lambda or container-based runtimes. Implement caching layers (API Gateway cache / Redis via Elasti. Cache) for performance. Data Layer (PostgreSQL) Develop normalized & optimized PostgreSQL schema, Implement indexing, partitioning, materialized views, and query tuning. Create CDC-based sync for downstream systems as needed. Ensure ACID consistency for transactional workloads. Real-time Ingestion, Build real-time pipelines using: API Gateway + Lambda Implement idempotency, deduplication, and real-time validations. Security & Compliance Implement authentication/authorization using: AWS IAM API Keys / OAuth2 Ensure encryption, auditing, logging, PII compliance (POPIA/GDPR). Observability & Performance Implement monitoring using Cloud. Watch dashboards, X-Ray tracing. Optimize API performance Scale PostgreSQL using Aurora PostgreSQL, read replicas, and connection pooling. CI/CD & DevOps Build secure pipelines using: Azure, Cloud. Formation, docker Core Technical Skills AWS API Gateway (REST/HTTP), Lambda, Step Functions, Event. Bridge, SQS, SNS, PostgreSQL, PostgreSQL performance tuning & schema design js / Python for API development AWS serverless and container-based architectures (Fargate/ECS) AWS Glue, S3, Glue Catalog, batch ETL MDM concepts: MUST HAVE matching, deduplication, golden record Performance tuning at API, DB, and network layers Experience in building microservices or APIs using Docker containers