Senior Data Engineer – Vp

Barclays

New York, United States
Base: $170,000 - $230,000; bonus/equity: not speci...
Python for data engineering
Aws cloud data services
Data orchestration tools
Build and maintain the systems that collect, store, process, and analyse data, such as data pipelines, data warehouses and data lakes

Job Summary

  • Build and maintain the systems that collect, store, process, and analyse data, such as data pipelines, data warehouses and data lakes.
  • Contribute or set strategy, drive requirements and make recommendations for change, plan resources, budgets, and policies.
  • Embark on a transformative journey as a Senior Data Engineer – VP, working on a greenfield data and intelligence platform for Equities.

Matching Summary

Build and maintain the systems that collect, store, process, and analyse data, such as data pipelines, data warehouses and data lakes.

Salary

Base: $170,000 - $230,000; Bonus/Equity: Not specified; Benefits: Not specified

Skills & Requirements

Must-have

  • Python for data engineering
  • AWS cloud data services
  • Data orchestration tools
  • Modern data lake ecosystems
  • Caching and performance optimization
  • Build and maintain data pipelines
  • Design data warehouses and lakes

Nice-to-have

  • Experience with Databricks or Snowflake
  • Observability and monitoring platforms
  • Streaming and messaging technologies
  • Contribute to strategic direction
  • Influence operations of a department
  • Guide technical direction
  • Advise key stakeholders

Key Requirements

  • Experience with Python, FastAPI, PySpark, Pydantic, asyncio
  • Experience with AWS EC2, ECS/Fargate, EMR, Glue, S3
  • Experience with Airflow or Dagster
  • Experience with Iceberg, Parquet, data catalogs
  • Experience with Redis
  • Minimum Salary: $170,000
  • Maximum Salary: $230,000

Work Rights

Not specified

Tailored Resume

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