Job description

Requirements


  • Primary: Strong SQL Experience, Python, Secondary: Hadoop, Hive, Spark, ETL:
  • 3-6 years of experience in Data Engineering
  • Experience in Big data Distributed ecosystems: Hadoop, Hive
  • Excellent knowledge of HQL/PrestoQL: optimizations, complex aggregations, and Performance tuning.
  • Experience building data processing frameworks, and big data pipelines.
  • Solid understanding of DWH architecture, ELT/ETL processes, and data structures
  • Basic Understanding of Python: ETL
  • Fluency in communicating data insights (Methods, Results & Actions) with the peer group
  • Design, develop and deploy high-volume ETL pipelines to manage complex and near-real time data collection
  • Work with data management team & project leads

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