[Hiring] Mid-level Cloud Data Architect @DMS Vision

Role Description

• Cloud Architecture
• Deployment models
• Security and scalability
• Cost optimization
• Cloud-native services
• Data Engineering & Storage
• Strong background in SQL and NoSQL databases
• Data Warehouses
• Data Lakes
• Tools/Platforms:
  • Snowflake
  • Google BigQuery
  • Amazon Redshift
  • Databricks
• Should understand:
  • ETL/ELT pipelines
  • Data integration
  • Data governance
  • Data modeling
• Big Data & Streaming
• Hands-on experience with:
  • Apache Spark
  • Apache Kafka
  • Apache Flink
• Expected knowledge:
  • Real-time streaming
  • Distributed processing
  • Large-scale data handling
  • Event-driven architecture
• AI / ML / Generative AI
• Required expertise:
  • Machine Learning
  • Deep Learning
  • Generative AI
  • LLMs
• Should know:
  • Model training
  • Fine-tuning
  • Prompt engineering
  • Vector databases
  • RAG architecture
  • AI lifecycle management
• MLOps / DevOps
• Experience in:
  • CI/CD pipelines
  • Model deployment
  • Monitoring tools
  • Automation
• Tools may include:
  • MLflow
  • Kubeflow
  • Jenkins
  • Docker
  • Kubernetes
• Programming:
  • Strong coding skills in:
    • Python (most important)
    • Java / Scala
  • Expected:
    • API development
    • Backend services
    • Data processing scripts
    • AI integration coding
• Architecture Skills:
  • Must understand:
    • Microservices
    • APIs
    • Distributed systems
    • Enterprise architecture
    • Scalable solution design

Company Description