Senior Data Engineer - Financial Flows

Added
4 hours ago
Type
Full time
Salary
Salary not provided

Related skills

docker aws sql python kubernetes

📋 Description

  • Design, build, and operate resilient batch and real-time streaming data ingestion pipelines
  • Lead the architectural migration of legacy backend infrastructure to modern cloud-native
  • Drive the refactoring and rewrite of the CTA positioning indicator calculation blocks from PHP to
  • Ingest and model complex financial datasets—including futures pricing, open interest, and trading
  • Implement automated data validation, proactive alerting, and system monitoring to ensure market
  • Deploy, maintain, and scale containerized services across Docker and Kubernetes environments using

🎯 Requirements

  • 5+ years of professional experience building, operating, and scaling production-grade data
  • Advanced expertise in Python, with a strong background refactoring and rewriting
  • Proven hands-on experience building and maintaining real-time or streaming API ingestion pipelines
  • Solid production experience deploying and managing containerized applications on AWS using Docker
  • Strong database fundamentals in SQL and experience working with distributed search or time-series
  • Deep experience establishing automated data quality frameworks, observability

🎁 Benefits

  • Experience integrating data from major financial market vendors (e.g., Bloomberg, LSEG, Enverus
  • Familiarity with legacy PHP codebase migration or reading PHP algorithms to translate into Python
  • Practical familiarity with GitOps frameworks and infrastructure-as-code tooling
  • Domain knowledge of financial market structures, futures contracts, open interest, and commodities
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