ETL Data Engineer - HYBRID

Full-time Engineering

Day to Day Responsibilities

• Cloud Data Warehousing & Engineering
  • Design, develop, and maintain enterprise cloud data warehouse solutions supporting business, risk, finance, and regulatory reporting needs.
  • Build scalable and resilient data ingestion, transformation, and orchestration pipelines using cloud-native technologies.
  • Develop and optimize ETL/ELT frameworks for structured, semi-structured, and streaming datasets.
  • Enable enterprise reporting and analytics by delivering curated, governed, and trusted datasets.
  • Design and implement batch and near real‑time data pipelines.
  • Build reusable ingestion frameworks for multiple source systems including Trading platforms, Treasury and finance applications, Core banking systems, and Market and reference data platforms.
  • Implement metadata‑driven and configurable pipeline architectures.
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