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Data Engineer

  • Apply proven expertise and build high-performance, scalable data warehouse application
  • Securely source external data from numerous global partners
  • Intelligently design data models for optimal storage and retrieval
  • Deploy inclusive data quality checks to ensure high quality of data
  • Optimize existing pipelines and implement new ones, maintenance of all domain-related data pipelines
  • Ownership of the end-to-end data engineering component of the solution
  • Collaboration with the program’s SMEs, data scientists
  • Data Engineer will rotate on an On-Call shift as needed to support the team. 
  • 5+ years’ experience in data engineering, proven expertise of applying DWH/ETL best practices
  • proficiency in LAMP and the Big Data stack environments (Hadoop, MapReduce, Hive)
  • competence with relational databases (Oracle, MySQL)
  • experience working with enterprise DE tools, ability to learn in-house DE tools quickly
  • coding and scripting experience with Python, Java, PHP, SQL, CLI
  • BS/MS in Computer Science or a related technical field
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