Senior Data Engineer - Avp

Barclays

Whippany, NJ, US
Minimum salary: $120,000; maximum salary: $175,000...
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Python for data engineering
Aws cloud platforms and data services
Data orchestration and workflow tools
** Barclays is seeking a Senior Data Engineer - AVP to design and develop software solutions that enhance business capabilities within their organization. The ideal candidate will have extensive experience in data engineering, particularly using Python and cloud services, and will contribute to a culture of technical excellence. **

Job Summary

  • Design, develop, and improve software utilizing various engineering methodologies to provide business, platform, and technology capabilities.
  • Collaborate with product managers, designers, and other engineers to define software requirements, devise solution strategies, and ensure seamless integration.
  • Embark on a transformative journey as a Senior Data Engineer - AVP, helping build a greenfield data and intelligence platform for Equity Derivatives.

Matching Summary

Match Score: 75

** Barclays is seeking a Senior Data Engineer - AVP to design and develop software solutions that enhance business capabilities within their organization. The ideal candidate will have extensive experience in data engineering, particularly using Python and cloud services, and will contribute to a culture of technical excellence. **

Salary

Minimum Salary: $120,000; Maximum Salary: $175,000; Benefits: Medical, dental, vision, 401(k), life insurance, paid leave, incentive award

Skills & Requirements

Must-have

  • Python for data engineering
  • AWS cloud platforms and data services
  • Data orchestration and workflow tools
  • Modern data lake and storage ecosystems
  • Caching and performance optimization

Nice-to-have

  • Databricks or Snowflake experience
  • Observability and monitoring platforms
  • Streaming and messaging technologies
  • Java and JavaScript knowledge

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

Work Rights

Not specified

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