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AI Summary

The AWS Cloud Engineer will build high-performance, low-latency APIs for managing data and ensure ACID consistency for transactional workloads. They will also implement security measures and optimize performance across various layers.

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 ElastiCache) 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 CloudWatch 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,
  • CloudFormation,
  • docker

Core Technical Skills

  • AWS API Gateway (REST/HTTP), Lambda, Step Functions, EventBridge, 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

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