Senior Data Engineer

Barclays

Pune, India
Python software engineering
Aws core architecture services
Distributed processing engines spark
Build and maintain the systems that collect, store, process, and analyse data, such as data pipelines, data warehouses and data lakes to ensure that all data is accurate, accessible, and secure

Job Summary

  • Build and maintain the systems that collect, store, process, and analyse data, such as data pipelines, data warehouses and data lakes to ensure that all data is accurate, accessible, and secure.
  • Contribute or set strategy, drive requirements and make recommendations for change.
  • Embark on a transformative journey as a Senior Data Engineer-VP, where you will play a pivotal role in architecting and implementing high‑performance data pipelines and data flows that enable low‑latency, high‑fidelity insights.

Matching Summary

Build and maintain the systems that collect, store, process, and analyse data, such as data pipelines, data warehouses and data lakes to ensure that all data is accurate, accessible, and secure.

Skills & Requirements

Must-have

  • Python software engineering
  • AWS core architecture services
  • distributed processing engines Spark
  • enterprise data workflows orchestration
  • large-scale data quality frameworks
  • Data Mesh concepts

Nice-to-have

  • financial-sector data use cases
  • real-time distributed processing
  • unstructured data ingestion
  • data catalogs and ontology development
  • cloud-native and containerization deployment

Key Requirements

  • Extensive Python software engineering experience
  • Strong proficiency in Java or C++
  • Deep knowledge of AWS services
  • Extensive experience with Spark
  • Practical experience orchestrating data workflows
  • Experience designing scalable data jobs
  • Experience with data quality frameworks
  • Familiarity with Data Mesh concepts

Work Rights

Not specified

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