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Stelle · Principal

Principal Data Engineer

Atyeti
Data Engineer • Principal • Hybrid • Vollzeit • Vereinigte Staaten Princeton, USA
Spark
  • Develops and maintains scalable data pipelines and builds out new API integrations to support continuing increases in data volume and complexity.
  • Collaborates with analytics and business teams to improve data models that feed business intelligence tools, increasing data accessibility and fostering data-driven decision making across the organization.
  • Implements processes and systems to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it.
  • Writes unit/integration tests, contributes to engineering wiki, and documents work.
  • Performs data analysis required to troubleshoot data related issues and assist in the resolution of data issues.
  • Works closely with a team of frontend and backend engineers, product managers, and analysts.
  • Defines company data assets (data models), spark, sparkSQL, and hiveSQL jobs to populate data models.
  • Designs data integrations and data quality framework.
  • Designs and evaluates open source and vendor tools for data lineage.
  • Works closely with all business units and engineering teams to develop strategy for long term data platform architecture.

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