Backend Fullstack Developer (Python / Data Engineering)

Responsibilities

• Data Ingestion &
  • Processing Architecture

• Multiple highvelocity data sources, including:

Event Hub from Postgres

Data pushed to Snowflake

• Additional events across various internal systems

Heavy use of:

Kubernetes for scalable processing

• Databricks / Spark for distributed computing
• Snowflake for storage and downstream analytics

Skills Must have

Backend Engineering:

Python (primary)

FastAPI (service/API development)

• Fullstack engineering without UI (backend data infra only)
• Cloud &
  • Containerization:

  Azure (core cloud environment)

  Docker

  Kubernetes / AKS

• Experience running highscale workloads in K8s
• Data Engineering &
  • Distributed Computing:

  Spark / Databricks

Experience handling:

Very large datasets

Complex pipelines

High message volume

• Mixed batch streaming data flows
• Designing & maintaining table schemas

Working with Snowflake

Database &

• Data Handling:

• Strong SQL data manipulation skills
• Experience integrating multiple data sources
• Comfort navigating eventstreaming ecosystems

HandsOn LLM Integration:

• Experience integrating LLMs into applications

Prompt design/optimization

RAG pipelines

• Vector databases & embedding models

Model orchestration patterns

• Security & compliance for AI systems
• Model Monitoring &
  • Optimization:

  Prompt evaluation frameworks

  Managing cost/performance tradeoffs