Job description


  • 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

Please let the company know that you found this position on this Job Board as a way to support us, so we can keep posting cool jobs.

Similar jobs

Browse All Jobs
March 28, 2023
March 28, 2023

Data Engineer

Accenture Poland
March 28, 2023

Splunk Data Engineer